RCT #182 - Scientific judgement is part of our job. Plus: Parking lots; Stop hiding in the comfort of your expertise; No wrong doors; Sales is research; Mentoring plans mandatory for NIH funding; NIHR RSS funding; Communities sustain software; Seqera containers
In follow up conversations from our series on the research impact flywheel, the issue that keeps coming up for people is discomfort with making choices about what kinds of research to pursue.
One “rebuttal” I keep hearing is that the team’s job is to support all research and researchers equally.
That (a) is very much not what the team’s job is; (b) it wouldn’t be possible if it was; and (c) if your job was just to provide some generic service without applying any judgement on our part as to who or how, our teams’ functions would be outsourced.
First, it is not our teams’ jobs to just mindlessly churn out generic widgets for (or provide widget access to) anyone who asks. We are hired for our judgement. In fact, we’re hired explicitly for our (rare! precious!) combinations of scientific and technical judgement. We apply that judgement in make decisions about who to support, how much effort to put into each effort, and what to go after next.
If we ask our VPR, or scientific advisory board, or whoever is ultimately charged with providing scientific input into the running of our teams, they will very much NOT say that we should prioritize every possible activity exactly equally. Our institution has needs, and priorities, and areas where modest effort — effort of the kind that only we can provide — can have outsized impact. Finding those areas, where we can have the highest research impact possible? THAT is our job.
Our job is not to run computers, or write software, or analyze data. Those are things we do as part of our job. But our job, the reasons for our teams existence, is to advance research as far as possible given the constraints we face. And that means making judgement calls.
Second, it is absolutely not possible to provide research support services without favouring one kind of research over another. How would that even work? How exactly would one propose running a team in such a way that it supported equally and without favour well the needs of the CS department, Physics department, Public Health, Surgery, and Microbiology departments, Literature, and History, and Theatre, and Visual Arts?
Every decision we make, no matter how seemingly purely technical, favours one kind of research over another. When we decide what the RAM to CPU ratio will be for our compute nodes, that favours one kind of work over another. When we choose one programming language over another as the default for our new tooling, that favours one set of research communities over another. When we decide on data infrastructure, that favours one kind of data needs over another. When we decide on what to hire for next, that favours supporting one kind of research over another.
Not only is there nothing wrong with that, it’s hard to imagine how it could possibly be any other way. But one has to be conscious of the choices we’re making and the tradeoffs we’re choosing as a result.
Finally, if our teams really just were generic widget providers that didn’t need to - in fact, weren’t allowed to - apply any kind of scientific judgement about what kinds of projects to take on, there wouldn’t be any point of hiring people familiar with research, and parts of our functions could be safely outsourced. We’d just be a generic HR or IT or other administrative function, which could be partly in house but increasingly provided by external providers, because it’s not especially valued.
Judgement is part of our jobs. It’s why we hire so many people from the research world. That judgement means we’re sometimes tasked with tough choices, which can be uncomfortable. But that’s the job.
And with that, on to the roundup!
Managing Teams
On the other side of town over at Manager, Ph.D., in issue #174 I talked about how Action Brings Clarity - that there’s only so much pondering we can do before we need to start doing things to truly learn about the problems we’re wrestling with.
In the roundup I covered:
- Good praise-to-criticism ratios are high,
- The importance of emotional signposting and giving other kinds of context,
- How to announce team departures,
- The goal of a strategy is to change a team's behaviour; and
- Getting and maintaining buy-in
Technical Leadership
Three Kinds of Parking Lots to Finish More Work and Reduce Decision Load - Johanna Rothman
A parking lot is an invaluable way of taking ideas and possibilities and agenda items off the table for now, so we can focus on the immediate priorities and topics at hand. It’s a way of avoiding saying “no” by instead saying “not now”.
There’s a million things we could be doing or thinking about, enough that we’ll just spin our wheels indefinitely if we’re considering it all simultaneously. Rothman talks about parking lots in three different contexts - the work of a team, possible product ideas, and portfolios of project options.
Everything will be a little clearer in the future, after we’ve already taken the actions we’re working on now; by moving things off our to do lists now, and bumping them to the parking lot, we can reconsider them with more context.
Stop Hiding In the Comfort of Your Expertise - Maarten Dalmijn
This is, I think, the biggest issue I see highly technical leaders of research support teams wrestle with.
The temptation is to consider every issue we face as a technical issue of the kind we’re familiar with. If we can just write some software or build some infrastructure, maybe that will fix everything!
But sadly, as Dalmijn points out, most of the time it’s a people issue, and we need to start building relationships and learning about other areas of work if we want to tackle those problems head-on.
Product Management and Working with Research Communities
No Wrong Doors - Will Larson
In the UK, US, and Canada (and likely elsewhere too - those are the governments I follow most closely), the national “digital service” has been using “digital transformation” as a way to renovate the delivery of different government services, making changes much deeper than just putting PDF forms into HTML. There’s been a lot of really useful service design work that I think we can usefully learn from.
In other areas of public service, especially dealing with vulnerable populations, there’s an increasing number of groups implementing “no wrong door” approaches. Rather than telling people “sorry, wrong department”, the person getting the request helps the person through the process even if that means working with other departments. I think that’s something we can learn from, too, and so does Larson.
It pains me to say this, but the default for our teams (especially larger systems teams) is to become VERY bureaucratic, with forms to be filled out and “that’s not our department”, making us sound like any IT department or local DMV. This tendency exists for any overworked service organization, by the way — fighting that sclerosis takes active effort.
And it’s worth fending off, because that approach slows research and frankly makes us less appealing to work with - it’s a really crummy first impression.
As Larson points out, you can start “rolling out” No Wrong Doors approaches one person at a time, just making a point of starting a three-way conversation with the person you think is the right person to answer the question. This helps the researcher (and remember, our goal is to advance research in our community), it makes us look better, and it slowly helps build connections with other teams. (Which is good, because they’re colleagues, not competition, in the struggle to advance research - #142).
Sales Is Research - Kevin Yien
When I talk about talking with researchers identifying their needs, or what other services you could be providing, these are a form of sales conversations.
In academia, we kind of recoil from that, but we needn’t. Sales conversations, as Yien tells us, are just a form of research. We’re finding out what works and what doesn’t, what is needed and what is optional. We’re not trying to manipulate anyone, or bend their will — we’re trying to see how we can help.
The Broader Research Support Ecosystem
Want NSF funding? You’ll need to submit a grad student mentoring plan - Katie Langlin, Science
Starting this week, principal investigators (PIs) seeking funding from the U.S. National Science Foundation (NSF) will be required to include a plan describing how they will mentor the graduate students and postdoctoral researchers involved in the project as part of their application.
Good.
The most important outcome of the vast, vast majority of research projects is the on-the-job training the grad students and postdocs receive while performing the project (second place would be any collaborations developed or maintained via the work of the project). Focusing on those trainees and their development and career growth should be a priority.
(My hot take: the entire grant proposal process could be usefully re-focussed on the trainee development, with the research aims being described in the context of that development. Having the trainees do uninteresting or derivative work isn’t good for their career growth).
Regardless, for US health-research-supporting teams: this is probably a pretty good time to start putting together some text about how your team helps train early-career researchers and how you show them the ropes of computational research. Then you can share it with your health researchers and their departments, helping them deal with a new reporting requirement while demonstrating your awareness of the funding landscape and highlighting the supports you offer.
NIHR unveils £100m service to help health researchers - Emily Twinch
NIHR Research Support Service - NIHR
And on the UK health research support side:
Somehow I missed this from last year - in the UK, NIHR revamped how it provided pre- and post-award advice and support (consisting of advice from statisticians, health economists, social & behavioural scientists, clinical trialists, and such) for those applying to NIHR for grants, or for other funding to similar work. There are now a smaller number of hubs (8) across the UK, which themselves often consist of many smaller teams across multiple institutions. So I guess the hubs are kind of like concierge front desks to expertise across many teams.
Do any readers have any experience with how this has worked? I’m seeing more of this “regional hub” model, with or without the “concierge front desk” approach, and would love to know know its’ going.
Research Software Development
There’s no such thing as sustainable research software - Katz, Barker, Hong, Turk, Carver, Cohoon, Howison
So you, reader, will already understand that software is not “sustainable”. There’s no sustainability linter you can run over the code to highlight possible sustainability issues, no test suite you can run to check for sustainability regressions. Sustainability is not an inherent property of a piece of software.
Same with a computing system, or a curated database, or..
Instead, these efforts are sustained, or not, by people or organizations who pay for it to be sustained.
Those people or organizations do this sustaining because they (or a community they support) need that software or other effort to do their jobs. Because there are users who advocate for sustaining the effort, or sustain it themselves.
In other words, sustaining is something a community does, and to the extent that “sustainability” in this sense is a thing that exists at all, one enhances an efforts’ “sustainability” by nurturing and supporting that community, and making it easy for them to effectively advocate for continued sustenance.
Even so, the need the community has for that effort is going to wax and wane over time, as will the sustaining. Eventually, at some point, the community will move on or dissolve entirely, and the sustaining will come to an end.
So a tool goes from a prototype or something bespoke for one problem, and grows in technological readiness (#91) to become RCD development, not just research (#119), and over time gathers a community which, with luck, will sustain the effort for as long as the community exists and needs it.
It may not find or build such a community - in startup speak it may not find “product-market fit”, and fade away (as with Sochat’s article on updated software in #172). That’s disappointing for the individuals involved, but it’s very much the nature of research - not every idea or effort pans out.
This understanding of sustaining is starting to gain wider acceptance. In this article, some RSE heavy-hitters describe how they’re starting to think about software and sustaining.
OSS Licensing for researchers and Educators - George Washington University Open Source Program Office
GWU has a nice short three-lesson course for researchers and educators about using licensed software and choosing licenses for their own work.
Research Computing Systems
Announcing: Seqera Containers for the bioinformatics community - Brendan Bouffler, Paolo Di Tomasso, and Phil Ewels
AWS and Seqera (the nextflow folks) have jointly put out a service which serves container images with some features specifically for research.
There are reproducible container URIs, a large library of supported Conda and PyPI and Spack packages, and the containers are quickly generated on the fly.
(I guess they pre-built the appropriate layers, so you can just pull them without building from a Dockerfile? I’m just guessing here)
It works with docker or singularity or anything that consumes docker or singularity images, and there are security scans and SBOM manifests. There are builds for x86 or Arm.
This seems really cool, and is the most interesting bit of scientific software packaging I’ve seen recently.
Random
I’ve posted some controversial things here before, but check this take out: some good things about autoconf.
Copying a file from a thirty year old, only kinda works, laptop.
Python applications that install themselves - PyApp.
Some thoughts on how the way we communicate and share ideas and work when we were working with small amounts of data and mostly analytical proofs might shift in the age of lots of data and neural nets - Universal Modelers. Not sure I agree with everything there, but thought provoking - always useful to be reminded that the way we do things is a choice not a law of nature.
Sure, LLVM and JVM are neat, but what if your programming language compiled to bash, like Amber?
Terminal programs don’t have to be boring - Terminal TextEffects.
Running asynchronous software book clubs.
Data-to-paper via LLM in a reproducible and human-verifyable way with data-to-paper.
That’s it…
And that’s it for another week. If any of the above was interesting or helpful, feel free to share it wherever you think it’d be useful! And let me know what you thought, or if you have anything you’d like to share about the newsletter or stewarding and leading our teams. Just email me, or reply to this newsletter if you get it in your inbox.
Have a great weekend, and good luck in the coming week with your research computing team,
Jonathan
About This Newsletter
Research computing - the intertwined streams of software development, systems, data management and analysis - is much more than technology. It’s teams, it’s communities, it’s product management - it’s people. It’s also one of the most important ways we can be supporting science, scholarship, and R&D today.
So research computing teams are too important to research to be managed poorly. But no one teaches us how to be effective managers and leaders in academia. We have an advantage, though - working in research collaborations have taught us the advanced management skills, but not the basics.
This newsletter focusses on providing new and experienced research computing and data managers the tools they need to be good managers without the stress, and to help their teams achieve great results and grow their careers.
Jobs Leading Research Computing Teams
This week’s new-listing highlights are below in the email edition; the full listing of 183 jobs is, as ever, available on the job board.
Assistant Vice President Research Computing and Infrastructure Services - Case Western Reserve University, Cleveland OH USA
The assistant vice president serves as a key member of the senior leadership team of the University Technology (UTech) division. As a key member of the senior leadership team, the assistant vice president assists in developing vision and strategy for information technology services that undergird the priorities of the Case Western Reserve University¿research, educational excellence, and student success. The assistant vice president drives vision, strategy, prioritization, budgeting, and resource planning for operations in the UTech division in support of delivering world-class information technology solutions and services to the university community.
Academic Director and Instructor, Data Science Institute - Brown University, Providence RI USA
The Data Science Institute (DSI) at Brown University seeks an Academic Director to oversee a new online master’s degree program in Data Science: Policy, Governance & Society. This position will carry the title of Professor of the Practice of Data Science (rank to be determined by experience). It is a 12-month appointment, with an initial contract of 3 years, renewable for longer. The Academic Director will provide overall academic and intellectual leadership for the program, working with other DSI faculty, especially with faculty of DSI’s related but distinct in-person master’s program. The incumbent will also serve as instructor for one or more courses in the program.
Co-Director (Assistant/Associate Research Professor) - Cryo-EM Facility - Penn State University, University Park PA USA
The Huck Institutes of the Life Sciences at Penn State University is seeking applications for a non-tenure track faculty at the rank of Assistant/Associate Research Professor to co-direct our Cryo-Electron Microscopy Facility. The successful candidate will be a Ph.D. trained scientist with exceptional hands-on experience of all aspects of Cryo-EM.
Academic Administrator-Bioinformatics Core Manager - University of California at Davis, Davis CA USA
Reporting to the UC Davis Genome Center Director, the incumbent will be responsible for the day-to-day management and development of computational and bioinformatics resources within the UC Davis Bioinformatics Core Facility. They will provide leadership in coordinating bioinformatics services, ensuring the smooth operation of the Core, and delivering state-of-the-art capabilities to research groups both on- and off-campus. In addition to managing services on a recharge basis, the incumbent will oversee the organization and delivery of workshops and seminars aimed at providing continuing education to local, national, and international audiences. The position requires a high level of knowledge and competence in both hardware and software aspects of bioinformatics, while collaborating closely with faculty members and the Genome Center leadership.
Senior Software Engineer & Team Leader - Experiment Management - Diamond Light Source, Didcot UK
Diamond Light Source is the UK’s national synchrotron; a huge scientific facility designed to produce very intense beams of X-rays, infrared, and ultraviolet light. Our scientists use the light to study a vast range of subject matter, from new medicines and treatments for disease to innovative engineering and cutting-edge technology. The DAQ group develops software to interface with and orchestrate the hardware which allows experiments to be configured, performed, and monitored, as well as collecting and formatting scientific data. The group works closely with scientists, motion, and controls engineers to continuously develop and improve software solutions for scientific data acquisition and on-the-fly monitoring and visualisation. Typical experiments will generate tens of terabytes of data per day. We now have an opportunity for a senior software engineer within the DAQ group to lead the team supporting and developing DAQ software for Diamond’s Soft Condensed Matter (SCM) and Crystallography science groups.
Manager, Data Science, PROOF Centre - University of British Columbia, Vancouver BC CA
The Manager of Data Science is responsible for leading, overseeing and managing all computational aspects of research carried out at the PROOF Centre of Excellence. This includes statistical considerations, data management, management of computational staff and students. The incumbent will, develop, and conduct statistical and data mining analyses to identify and evaluate predictive, diagnostic, and prognostic biomarkers for various health outcomes. Major responsibilities include being part of the PROOF Centre of Excellence management team; designing and developing data analysis software; managing the Centre’s large and growing collection of molecular data; performing statistical analysis and modeling of big data, including various omic data (e.g., transcriptomics, proteomics, metabolomic, and epigenetics measurements); writing statistical and data analysis plans, reports, research proposals, and publications; and supervising junior computational staff and students.
Director of Delivery Infrastructure - Alan Turing Institute, London UK
The Institute is seeking to recruit an experienced individual to a senior leadership role who will have ultimate responsibility for the Science and Innovation delivery infrastructure for the Institute and be a key member of the Executive Leadership Team. The postholder, with support from the CEO, Chief Scientist and other members of the Executive Leadership Team (ELT) will work closely with the Infrastructure Directors and other management teams to align potential transformations in these areas with the Turing’s strategy. The postholder will contribute to ensuring the Institute meets its key strategic missions and will sit on the Executive Leadership Team, reporting to the CEO.
Cryo-Electron Microscopy Facility Manager - Virginia Commonwealth University, Richmond VA USA
Centre Manager, Data Science - Queensland University of Technology, Brisbane AU
The Centre Manager provides leadership and management of the Centre’s core operational activities, working closely with the Director and other senior leaders to ensure the efficient and effective delivery of Centre’s vision and objectives. The Centre Manager will lead and have responsibility for managing the operation of the Centre, delivery of administrative services, project delivery support and all operational matters. The position has operational responsibility for the Centre’s budget (including operating and discretionary budgets) and collaborates with share services staff across the Faculty and University to execute the effective operations of the centre.
Research Lab Manager, Operations, Quantum AI - Google, Goleta CA USA
In this role, you will build and maintain robust facilities for quantum computers. You will interface with local municipalities, contractors, research scientists, engineers, safety, and network teams.
Lead Specialist Engineer HPC - UK Health Security Agency, London or Liverpool or Leeds or Birmingham UK
The United Kingdom Health Security Agency (UKHSA) is a system leader for health security; taking action internationally to strengthen global health security, providing trusted advice to government and the public and reducing inequalities in the way different communities experience and are impacted by infectious disease, environmental hazards, and other threats to health. The Technology Directorate has primary responsibility for service technical infrastructure and support. You will manage, support and maintain the hardware and software components of mission critical High Performance Computing (HPC), Unix/Linux, virtualization and cloud platform required for the execution of UKHSA business.
Software Product Manager - Cryo-EM Data Science - ThermoFisher Scientific, Bordeaux FR or Eindhoven NL or Remote USA
Materials and Structural Analysis, a division of Thermo Fisher Scientific headquartered in Hillsboro, Oregon, designs, manufactures, and supports high-performance microscopy instrumentation for the life sciences, materials sciences, and semiconductor industries. As a member of the Life Science Business Unit’s Cryo-EM workflows team, you'll help define our strategy for enabling innovative data management solutions. Are you an enthusiastic and dynamic Product Manager with a passion for data science that wants to join our upbeat team? This role will be pivotal in driving data and software strategies across our range of rapidly developing Microscope products. The data science software product manager will be primarily responsible for our data management and data science product solutions. The role will require strong collaboration skills and understanding of how to succeed in a matrixed environment. You will help drive our product strategy and release process, define the marketing strategies, and develop the product positioning.
Director, Bioinformatics and Data Science - Artiva Biotherapeutics, San Diego CA USA
Reporting to the SVP, Research & Early Development, the Director, Bioinformatics and Data Science will establish the function at Artiva. The successful candidate will be responsible for implementation of the infrastructure and tools that are critical for enabling CMC, preclinical, translational, and clinical research objectives that will inform and accelerate development of our NK cell therapies in areas of unmet medical need.
Group Manager for Science Infrastructure - Jacobs, Houston TX USA
Provide effective managerial and technical leadership to a team providing facility engineering, facility and capability development, maintenance and operations, software and web development, server administration, desktop support, IT purchasing and security, and technical and science services to the NASA Astromaterials Research and Exploration Science Division (ARES/XI)
Product Manager - Borealis AI, Toronto or Waterloo ON or Montreal QC or Vancouver BC CA
As a Product Manager on the Product team, you’ll get a chance to contribute to the product development of AI products for the financial services industry. You and your team will be responsible for building and delivering products that solve high-impact business problems and for defining strategic product roadmaps for your portfolio with the support of the business development, engineering, and research teams. At Borealis AI, you’ll be joining a team that works directly with leading machine learning researchers and software developers. Our mission is to think big and go beyond what’s possible today to deliver competitive AI products. This is a rare opportunity to build the skills required to make machine learning work in banking.
Manager of Research Engineering - Thompson Reuters, Toronto ON CA or Ann Arbor MI or Frisco TX or Eagan MN USA
As Manager of Research Engineering, you are both a technical leader and a people manager. Key responsibilities include the technical direction of production services, close partnership with technology partners across the enterprise, and responsibility for the recruiting, career growth and mentorship of Labs engineers. Managers provide technical guidance on medium, yet complex projects in close collaboration with the research arm of Labs. This role also identifies and collaboratively advocates for the adoption of industry best practices around well-managed software delivery.
Principal Research Sciences Manager - Microsoft, Various USA
Microsoft's DeepSpeed is an open-source library built on the PyTorch (machine learning framework) ecosystem that combines numerous research innovations and technology advancements to make deep learning efficient and easier to use. DeepSpeed can parallelize across thousands of GPUs and train models with trillions of parameters. Our OSS (Open Source Software) has powered many advanced models like MT-530B and BLOOM, and it supports unprecedented scale and speed for both training and inference. The DeepSpeed team is also part of the larger Microsoft AI at Scale initiative, which is pioneering the next-generation AI capabilities that are scaled across the company’s products and AI platforms. The DeepSpeed team is looking for a Principal Research Sciences Manager with a keen interest in innovations and for building high-quality systems that will make significant impact inside and outside of Microsoft.
Technology Specialist Manager, Data & AI - Microsoft, Various CA
The Technology Specialist Manager, Data & AI is a leader who develops and manages a team of Data & AI Technical Specialists to drive technical solution acceleration in pre-sales stages and market share by leveraging the Microsoft Data & AI solutions to meet their customers' data modernization, analytics and AI solution needs.
Director Platform Informatics - Metric Bio (Recruiter), Undisclosed AB USA
The Director of Platform Informatics will report directly to the Chief Data Officer. As a technical leader, the Director will oversee a team responsible for developing and managing a clinicogenomic data lake and the associated ETL processes for genomic sequencing results, interpretations, and clinical data conversion from HL7 FHIR to OMOP standards. This role is pivotal in advancing precision medicine by facilitating clinicogenomic data applications and constructing an integrated research workbench framework for data querying, cohort building, clinical trial matching, biomarker discovery, therapeutic lead generation, and other analytics and visualization of results. You will collaborate internally with other Data Teams in Bioinformatics and Quality Control, and externally with biopharmaceutical sponsors and academic research collaborators, providing a comprehensive, data-driven view of clinicogenomic determinants of health and disease.
Head of Bioinformatics - GenXys, Vancouver BC CA
GenXys Health Care Systems creates and sells clinical decision support software to assist health care providers with medication management and precision prescribing. Our bioinformatics team works closely with our clinical teams to handle, process, and integrate large volumes of genetic, medication, and medical data from our users into our software. The Head of Bioinformatics will be responsible for driving innovation to implement processes that improve the speed, accuracy, and precision of our data analysis and support the expansion of our software products. This position provides an excellent opportunity to gain hands-on experience in the health tech software industry, working closely with cross-functional teams, in a supportive learning environment.
Associate Director Data Science, Data and Statistical Science AI/ML - Daiichi Sankyo, Remote
The position holder will manage, with limited direction, end-to-end delivery of AI/ML projects (from business understanding, over hands-on development to dissemination), to ensure high quality deliverables are on time and within budget. The position holder will partner with internal and external stakeholders as well as vendors to optimize AI/ML technology, processes and standards. The position will have a strong knowledge of AI/ML applications and best practices as well as strong technical skills in working with (clinical) data. The position holder will require strong skills in continuous improvement, project management, change management and risk management.
Head of R&D Data Engineering - Sanofi, Bridgewater NJ or Cambridge MA USA
Lead a team of data and software engineers to plan, design, execute and continuously improve Sanofi’s ambitions in R&D data products. Keep pace with industry trends and pioneer new approaches within the data engineering space. Collaborate with scientific and business and information technology leadership to influence the Data strategy and direction. Present technical concepts to non-technical stakeholders. Strategically plan and execute data engineengineering initiatives, including the development of data pipelines. Design a comprehensive data engineering roadmap and execute the vision behind it.
Principal Research Sciences Manager - Microsoft, Various USA
The DeepSpeed team is looking for a Principal Research Sciences Manager with a keen interest in innovations and for building high-quality systems that will make significant impact inside and outside of Microsoft.
A Facility Manager position is available for the new Cryo-Electron Microscopy at VCU. The Facility has a ThermoFisher Tundra Cryo-EM instrument and ancillary equipment.
Clinical Research Facility Business and Operations Manager - Guy's and St Thomas' NHS Foundation Trust, London UK
The post holder will provide strong operational and management support to the 5 specialist Core Research Facility units to ensure the effective use of infrastructure and resources. The post holder will work alongside the CRF Directors and other senior operational leads to ensure the timely delivery of a large and diverse portfolio of commercial and non-commercial studies undertaken in the CRF (including first-in-human Phase 1 trials and other experimental medicine studies), while ensuring compliance with regulatory research frameworks.
Senior Manager, AI Product Development - Abbott Labs, Chicago IL or Plano TX USA
Define strategy to build high performing AI product development teams. Formulate team goals to support business growth objectives, performance management, recruit, develop and retain talent to support business needs. Provides technical and functional leadership for a highly skilled product AI team (data engineers, data scientists, software architects etc) to accomplish team goals. Responsible for on-time and high-quality delivery of product focused AI solutions in collaboration with cross-functional teams across Digital Solutions and Medical Device divisions.
AI Research Manager - Autodesk, Toronto ON CA
We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction. As an AI Research Manager in the AI Lab, you will fulfill a player/coach role, both contributing as an AI Research Scientist and also managing a small team of other AI Research Scientists. As an AI Research Manager you will also participate in AI Lab Leadership meetings and thought leadership.
Sr Principal, Analytics & Artificial Intelligence - Gartner, Remote CA
Gartner Analysts are industry thought leaders who create must-have research, market predictions and best practices for a broad range of world-leading organizations. A Senior Principal dives deep into research and analysis of complex datasets to identify problems and develop strategies that help clients solve problems and improve their company’s performance. A Senior Principal is also a trusted source of advice for clients, reinforcing Gartner’s value daily by engaging clients via in-person meetings, virtual meetings, sales support visits and events to discuss complex client challenges and offer appropriate recommendations. This includes writing about, presenting and advising organizations about market trends, vendors, services, governance and best practices in analytics & AI.
Senior Investment Manager – Digital Research Infrastructure at AHRC - Arts and Humanities Research Council, Swindon UK
The successful candidate will be responsible for leading allocated activities within AHRC’s Programmes division on Infrastructure. This includes overseeing the development and implementation of funding schemes and initiatives, as well as focusing on strategic areas within the infrastructure portfolio. Collaboration with other Team Heads and Senior Investment Managers within and across AHRC teams is essential to coordinate activities effectively. The role also involves providing input into the strategic direction of the team and research programmes, managing existing schemes, and developing and delivering new initiatives.
High Performance Computing Project Manager - Atomic Weapons Establishment, Reading UK
AWE is looking for an experienced and adaptable Project Manager to lead the delivery, installation and commissioning of a new High Performance Computing (HPC) capability. The Project Manager will also be responsible for reporting to the accountable Senior Project Manager for ensuring the obsolescence management of future HPC, Storage, Networks and Workstations capabilities in accordance with the customer’s service level agreement. Your focus will be on taking ownership of assigned projects, addressing any technical and resource issues to mitigate risks, and driving the delivery forwards to time, cost, and quality. You will work closely with the HPC team to ensure capability, the availability of networks around site, and work stations etc. As the Project Manager, you will be the main point of contact for all suppliers, the construction team, and sub contractors. This is a fast paced and interesting area of the business, you will need to be both reactive and proactive, thinking pre-emptively on equipment obsolescence and renewal. This is a unique opportunity to make a real difference to the safety of our nation.
Facility Research Manager, Mass Spectrometry Unit - Western Sydney University, Sydney NSW AU
Westerns Research Infrastructure team is seeking an experienced Facility Research Manager to join their Mass Spectrometry Unit. This unit plays a vital role within the University, supporting various research activities across molecular sciences, biology, chemistry, forensics, and biophotonics. The Facility Research Manager will oversee and maintain the operational performance of the Mass Spectrometry Facility and its instrumentation. Responsibilities include managing the facility, supporting high quality research, providing training for academic and HDR student users, collaborating with Research Services to generate revenue through the provision of sample analysis for external clients, driving innovative research approaches, participating in technical support and committee meetings, and contributing to future strategic planning. Additionally, the manager will handle budgeting, stakeholder engagement, sample analysis, and compliance documentation.
Biomedical and Clinical Data Informatics Research Manager - Nuvance Health, Danbury CT USA
This complex and multifaceted mid-level manager role demands a highly skilled and experienced individual to lead and manage all aspects of biomedical informatics and clinical data for research protocols for the Department of Research and Innovation. The ideal candidate will possess in-depth expertise in analyzing patient molecular data, combining it with Electronic Health Records (EHRs), and applying AI and ML methodologies for statistical modeling and prediction of outcomes. He/She will also have exceptional managerial skills to oversee data coordination staff collaborate across multiple departments, and support clinicians and researchers. The manager will also oversee and support clinical and investigator-initiated research initiatives related to data, collaborating closely with clinicians, fellows, and residents to translate ideas into actionable projects. The role will utilize project management skills to research workflows and implementing efficient data operations.