Research Computing Teams #142, 22 Oct 2022
Issue #140 was controversial, but not for the reasons that I thought it might be. In the last two weeks I’ve had now had several people flat-out deny this claim:
There are core facilities all over your institution which get much of their revenue from fee-for-service quite successfully.
saying, essentially, that such a tawdry arrangement would never be tolerated at their institution. In each case, googling “[Institution] core facilities” returned lists of teams that nonetheless did exactly that.
I’m not at all surprised that we still have so much to learn about other technical research support teams even within our own institutions. I’d like to change things, though.
One of the recurring themes of this publication is that isolating ourselves by type of work we do is a mistake. That’s true whether we’re considering growing RCD silos between compute, software, and data, or existing silos between (say) RCD teams and biomed cores and data science institutes and stats help desks.
From funding to working with research communities to product management to technology, all of our needs are the same, our goals are intertwined, and our boundaries are growing fuzzy. We have much to learn from each other and how we approach our common issues, even if we chose to use different methods.
In the coming months, I’m going to try something a little different. I’ll see if I can interview members of different sorts of teams so that we can see how the various kinds of groups handle these shared challenges. I’d like to start with a bioinfo core leader. I’d also like to interview research software, HPC, data management, and data science team managers. Let me know if you’d volunteer - I know that there are several members of each community who are readers! We can do it in an anonymized version if that’s a worry.
Lack of awareness isn’t the only problem I see about our relationships with other teams. I’ve been in a couple of meetings this week where other teams were referred to as competitors. And that’s not really right, either.
Our goal, as leaders of our research computing and data teams, is to advance research and scholarship as best we can.
But the scientific needs of an entire research organization are almost limitless, while our teams’ resources are very much limited.
That means there’s going to be valuable work, useful work, interesting and challenging work, work our team could take on, that our team is nonetheless not going to do. Meeting all of everyone’s needs is not and has never been an option available to us.
Our competition, such as it is, isn’t other technical research support teams. Our competition is that research going unsupported. Our competition is students and postdocs spinning their wheels trying to do something they don’t yet have the tools or knowledge for, spending too much time to do a poor job. Our competition is less and worse science.
To fight that competition, the true competition, we need to not just know about but actively collaborate with other teams, inside and outside our institutions — even from the private sector. We need to be prepared to redirect researchers to those other teams when they can get better help there. And in turn, we need to focus our energies where our team is the one best equipped to help.
None of this is to say that our institutions and funders don’t sometimes put us into competition with those other research support teams - for a new hire or for operating funding. But the knowledge of those other teams allows us to position ourselves in the context of our research institution and research community, which makes it easier to advocate for ourselves and our teams in that context. And the existence of these other teams which allows us to nurture a specialty, which amplifies our impact by focussing our growth and our efforts.
And now, on to the roundup!
It’s pretty common, especially for those new to leadership positions, to know generally the right thing to do, but not know have the right words at hand to nudge things in the right direction. Having short little scripted phrases filed away that you practice using can be invaluable, especially in heated situations.
Here Hurt outlines twelve such phrases for you. I was just going to excerpt those that were particularly useful for us, but that’s all of them! The article explains when and how to use them, and variants.
- I care about _____ (you, this team, this project) and I’m confident we can find a solution that we can all work with
- Let’s pause this conversation for a moment, and come back in (an hour, a few hours, tomorrow) and talk about this.
- It sounds like you’re feeling _____ is that right? [pause for affirmation]. Thank you for letting me know how you feel.
- What would a successful outcome look like for you?
- Let’s start with what we agree on
- What I’m hearing you say is ____. Am I interpreting that correctly?
- I’m curious how this looks from your perspective.
- What do you suggest we do next?
- What can I do to support you right now?
- What’s one action we can both agree to as a next step here?
- So, to recap our conversation, we’ve agreed to ___. Is that your understanding?
- Let’s schedule some time to talk about this again, and see how our solution is working.
Remote Work Conference - Stanford University
Interesting set of talks on remote work and remote collaboration, which has long been a thing but is now getting even more attention. Interesting talks here on remote knowledge work (including science collaborations, which apparently were measurably less productive than colocated teams until about 2010 or so).
There was a short section on hybrid work here, too. Work on hybrid teams is just starting - we don’t even have widely accepted words yet for the different arrangements that all fall under the umbrella term of “hybrid”. But right now there’s more opinions than facts about hybrid work; it’ll be good to keep an eye on sessions like these to see what does and doesn’t work, and how we would know.
Managing Your Own Career
Leadership SLAs - Aviv Ben-Yosef
Establishing service-level agreements with ourselves is surprisingly effective for some people. “I provide feedback within one business day”, “I give everyone on my team at least one piece of feedback per week”, “I respond to clients by the end of the day”, “I make two hours a week for professional development”… there is a lot of research supporting this kind of commitment as a way of driving behaviour. (Maybe it’s a bit cliché, but I find writing them on sticky notes and putting them on my desk works very well for at least beginning a behaviour change). Ben-Yosef gives some examples in this article.
#42: How to Answer Hiring Manager’s Questions in Interviews - Candost Dagdeviren
Moving into leadership positions is the first time most of us in research have ever had to answer behavioural interview questions. A commonly recommended framework for answering those questions - Situation Task Action Results, STAR - is one good way of communicating answers to (many) questions of that form. (It’s a handy outline for clearly structuring short work-related “what we did and why” stories in general, in fact).
Dagdeviren describes the structure and its use in articles in this article.
(Bonus pro tip! If you’re find yourself needing to suddenly prepare for a job interview, you can do a lot worse than going through every X in the “responsibilities” section of the job listing and preparing short STAR answers for questions of the form “Tell me about a time when you did/demonstrated X”. Even if you don’t get asked that exact question, you’ll likely to be able to make use of the answers you’ve prepared. Even better, other jobs you apply for will likely have overlapping responsibilities, so these stories can be used across jobs.)
Product Management and Working with Research Communities
Ten simple rules for a successful international consortium in big data omics - Stobbe et al, PLOS Comp Bio
Collaboration is work, and large collaborations are a lot of work.
This “ten simple rules” article is written by people who have done more than a few of these kinds of consortia projects, and they know what they’re talking about. Revealingly, only three of the rules (5: build in checks; 7: keep track of code/data provenance; 8: keep up the pace) are really about the scientific work itself. Almost all of the discussion is about the unsung meta-work that has to be done to keep a large consortium functioning and moving forward.
If you or someone you work with is entering such an effort, make sure the appropriate people read this and take it seriously! Much of this stuff sounds obvious, but it takes real effort. The most common way I’ve seen consortia not really live up to their potential is when groups see rules like Rule 1 (“Set up a transparent and effective governance”), Rule 2 (bout setting clearly defined goals), or Rule 3 (about using the right terminology internally to communicate) and thinking “We don’t really need that; we all know each other, it will be fine.”
The final Rule (“Be the giant on whose shoulders others can stand”) is really nice to see here. After all the enormous work that goes into a consortium project, seeing a successful one wind down leaving nothing behind but the papers that got written is incredibly disheartening.
Scientific Publishing: Peer review without gatekeeping - Eisen et al, eLife
Transparent peer review for all - Nature Communications
Interesting week in scholarly publishing; eLife announced that they will no longer be accepting or rejecting papers that they’ve sent out for review; instead, all reviewed papers will be published online, as a Reviewed Preprint, along with the reviews.
The system of science publishing we have today was not developed for today’s science or today’s technology. Its defining feature, a hierarchy of journals that use peer review to decide which papers they will publish, arose in the last century as a response to the limitations and costs of the printing press and the postal service.
We have found that these public preprint reviews and assessments are far more effective than binary accept or reject decisions ever could be at conveying the thinking of our reviewers and editors, and capturing the nuanced, multidimensional, and often ambiguous nature of peer review.
Although eLife doesn’t call it that, submissions will still basically be subject to desk rejects — eLife’s capacity for reviewing preprints isn’t infinite.
Meanwhile, Nature Communications will be publishing reviews of all papers:
Starting in 2016, we have offered authors the option to publish the comments received from the reviewers and their responses alongside the paper. As we believe that transparency strengthens the quality of peer review, we are now moving to publish the exchanges between authors and reviewers for all research articles submitted from November 2022 onward.
Cool Research Computing Projects
How KEK changed how everyone in Japan does CryoEM (Part 3 of 4) [Video] - AWS HPC Tech Shorts
KEK’s new cloud infratructure for CryoEM is certainly cool, but that’s not why I’m including it here. Instead, this video is just a nice example that crossed my desk this week of communicating the impacts digital research infrastructure. Note that the “speeds and feeds” stuff only comes later, in section 4; here the focus is on impact. Stories about scientists shipping hard drives of CryoEM data and waiting for weeks for results, or only finding out at the end of a 24-hour run that their data was contaminated, and so useless, versus people being on a video call while the data is being generated, giving feedback on the experiment in real time so changes can be made. And doing further analysis of data on the train. And then the impact of there being a pool of data and tools available nationally.
Those stories leave vastly more of an impact on decision makers than tables of numbers!
Note too that this isn’t some slick, high-production value marketing video that only industry can afford to do - it’s a recording of four technical people happily chatting on a Zoom call, with a little editing afterwards.
Research Software Development
Demonstrating Importance and Value in Research Software - David Wilby
Tying in very nicely to the above, Wilby writes a great article about demonstrating the importance and value of research software projects and products, focussing on impact. Read it! His categories of evidence are:
- Qualitative evidence - “Easily overlooked but also easily achieved, qualitative evidence such as testimonials from researchers or PIs or feedback from users can form strong evidence for the usefulness and quality of software.”
- Users, Downloads, Data - “Having numbers to illustrate the scale of use of your software will make any claims of research excellence or impact significantly more salient.”
- Money, Money, Money - “whether it’s the value of a grant or something more commercial such as sales of the software itself or a product enabled, monetary values can be very strong evidence.”
- Publications & Citations - ”All you can really do here is make it easy for people to cite your repository and/or paper and keep track of the citations“
And closes with this, which I completely agree with:
Try to collect evidence proactively - It’s easier said than done, but try to plan ahead for a project how you might collect some evidence, it’s not much fun but it will pay off in the future when you don’t have to desperately scrabble for it - take it from me!
You will always, at some point, need evidence, if only for your resume down the road. And once you have evidence, especially great quotes or numbers, and specific examples of research impact, you will find endless opportunities to showcase it!
Can We Use Trunk-Based Development for Legacy Software? - Burkhard Stubert
Trunk-based development is great because it encourages incremental changes and rapid iteration. But legacy software, without a detailed test suite or a clear path to getting one, makes this approach challenging.
Stubert gives us a few tools to try to to move developmennt on a legacy codebase to a trunk-based approach:
- Test-driven development for every code change
- (As an interim step) short-lived review branches for changes
- Very small user stories
Research Data Management and Analysis
2021-2022 Research Data Services Annual Report - Christina Maimone, Northwestern Research Data Services
I like sharing documents like these so teams can see what other teams are doing and how they are communicating their outcomes - here Maimone provides a nice crisp document outlining what services they offer, with numbers of how they’re used, and some of the significant research and scholarly outcomes they contributed to.
The previous report was as a PDF. I think they made the right decision moving to a web version; being trained in research, where everything is PDF papers, and then thrust into University administration, where everything’s glossy documents, often our first inclination is to make a professional looking PDF. But after you do that a couple of times you realize it’s more work and fewer people read it than a professional-looking web page.
Another nice benefit of a web format, since it’s easier to create, is that it becomes possible in future iterations to have different versions of it for different audiences. For instance, funders probably care more about external impact than potential research clients or institutional decision makers, so it could be moved higher in a funder-facing version. It also becomes easier to add less-structured sections people can open up giving longer discussions of particular projects, and (connecting to Wilby’s article above) helpful quotes from the researchers or end users of the product. Never underestimate the power of a story plus a visual plus a pull quote!
Research Computing Systems
I’ve been hearing “tape is dead” for basically my entire career. Maybe this is the year! But it probably isn’t. For as long as it has a cost, density, and energy advantage while being fast enough for some use case, tape will be with us.
It is interesting to see how the times change how tape is positioned though - here IBMs new Diamondback system fits in a or on OCP rack (the choice of hyperscalers) and can be a standalone option or part of a distributed, scale-out “Redundant Array of Independent Libraries”.
Emerging Technologies and Practices
Moore’s law is dead, or at least in parlous health, depending on who you ask. So custom silicon for niche research computing applications is starting to become imaginable again. (Anyone else remember GRAPE for N-body calculations?). The advance of EDA tools, which to this outsider seem to be making faster progress than FGPA programming tools, helps. So does the growth of fab-as-a-service, which allows silicon makers to continue to make money from older, larger processes while ramping up their newer technologies.
Here Shaw reports on Intel making it easier for academics in particular to get small batches of chips fabbed. Even better, it’s somewhat subsidized by an industry and government that recognizes the need for increasing semiconductor workforce development.
An interesting sign of the times is that SPEC is developing a power efficiency benchmark suite.
Frustated with waiting for the elevators in your building? Pretty sure a monkey could design a better algorithm for the elevators? Are you sure? Play the elevator programming game.
The Commodordion is… honestly, I don’t even know what to say here.
The mystifyingly tortuous path to testing out AVX512 for FP16 on the first chip family that supports it (but does it, really?) - Alder Lake.
Static analysis and AI in a modern development tool… for COBOL - COBOL Colleague.
24 papercraft models of vintage computers.
A timer for your terminal, for some reason.
Kind of doctest or notebooks meets markdown files? Runme makes readme.md (or other markdown files) into notebooks in VSCode.
And that’s it for another week. Let me know what you thought, or if you have anything you’d like to share about the newsletter or management. 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,
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; the full listing of 191 jobs is, as ever, available on the job board.
Satellite Data Hub Manager, Earth Observation Infratructure - CSIRO, Canberra or Melbourne or Brisbane or Sydney AU
CSIRO’s Earth Observation Infrastructure Program supports CSIRO and partner science teams, in the use of satellite earth observation data. To support these initiatives, we’re seeking a suitably experience Satellite Data Hub Manager, to help CSIRO establish and operate a robust, reliable and secure EO data hub. Initially in this role, you will be tasked with procuring commercial-cloud services for the EO Hub. Further, to ensure functional interoperability with the Regional Copernicus Data Hub, you will coordinate closely with Geoscience Australia and partners, who have established and operated this hub.
Technical Program Manager, Semantic Scholar Academic Graph - Allen Institute for AI, Seatle WA USA
Semantic Scholar is a free, A.I.-powered research tool for scientific literature. We are looking for a Technical Program Manager to own all aspects of the Semantic Scholar Academic Graph (S2AG) products. We are a small, scrappy team and this role has many components. We are looking for someone with technical program and product management skills. You will work directly with our developer partners to understand their projects and needs. You will create business requirements, own the roadmap for our APIs and datasets, and work directly with our engineering team to launch new features.
Research and Engineering Manager, Wireless Living Lab - Iowa State University, Ames IA USA
For the Research/Engineering Manager position, key responsibilities include leading technical project execution and management, team development, and stakeholder engagement. Prior experience in wireless/networking/software systems development, deployment, and/or operation is invaluable.
Machine Learning Research Team Lead - Borealis AI, Montreal QC or Toronto or Waterloo ON or Vancouver BC CA
As a Machine Learning Research Team Lead, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We’re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing machine learning models. Being part of our team means you’ll also have the opportunity to contribute to the AI community, including by publishing original research at venues such as NeurIPS, ICLR, ICML, CVPR, ACL and more.
Associate Director of Integrated Cyberinfrastructure - National Center for Supercomputing Applications (NCSA), Urbana-Champaign IL USA
The Associate Director of the Integrated Cyberinfrastructure (ICI) Directorate is a senior member of the NCSA Director’s Office that works as part of a team on both setting NCSA strategy and executing on tactical directions. This position is actively engaged with leaders across campus with initiative development and follow-through as well as with other academic institutions and industry leaders. This position provides experienced management of technology development in support of advanced applications and communities across the disciplines, with the goal of delivering functional advanced technologies to NCSA’s academic and industrial users.
AI Program Director, Technology Leadership - Canada’s Ocean Supercluster, Remote CA
Overall responsibility for program, which will begin with work to finalize program design and criteria, hire staff, develop guidelines, and help to launch the program. Following efforts to initiate the program, the Director will lead efforts to commit and disburse OSC funds to projects within the program, manage assigned staff and drive reporting of the program portfolio, actively overseeing the portfolio
Research Infrastructure Team Lead, Health Informatics Centre - University of Dundee, Dundee UK
HIC are looking to recruit a Research Infrastructure Team Lead to play a key part in the development and delivery of innovative secure infrastructure supporting interesting and valuable research projects across (primarily health) data science and clinical informatics. You will support ~60 HIC experts and hundreds of end users. HIC have grown year on year for the past 6 years with significant recent success in grant awards. We have supported over £180M of research in the past 5 years.
Lead Software Engineer - Cancer Research UK, Stratford UK
Apply Lean and Agile principles to develop high-quality code that has minimal bugs, adheres to CRUK standards, and is highly supportable. Work either independently or in collaboration with Solution Architects to design new solutions in line with the Software Engineering strategy. Act as a technical lead for one or several products, peer-reviewing junior team members’ work and coaching them to develop their skills and behaviours.
Software Engineering Group Leader, UK Astronomy Technology Centre - Science and Technologies Facility COuncil, Edinburgh UK
The UK Astronomy Technology Centre (UK ATC) is the UK’s national centre for the design and production of leading edge astronomical instrumentation and systems. We have a friendly and flexible work environment, on a beautiful site combining the historic Royal Observatory Edinburgh architecture with state-of-the-art modern laboratories. Here at UK ATC we now have an opportunity for an experienced software engineer to work across a range of projects for major observatories, such as the Square Kilometre Array (SKA), Atacama Large Millimetre Array (ALMA) and the Very Large Telescope (VLT) and Extremely Large Telescope (ELT) of the European Southern Observatory (ESO), and also to lead the UKATC software group, managing the work of the group and defining its future strategy.
Data Architect, Environmental Molecular Sciences - Pacific Northwest National Laboratory, Richland WA USA
We are seeking a Data Architect to contribute to our data management activities, focused on collection and storage of metadata and data in accordance with accepted standards. Applicants should have a skill set that includes a strong background in a relevant domain (e.g., environmental science or molecular biology), knowledge of relevant data standards (e.g., Darwin Core, Genomics Standards Consortium) and ontologies (e.g., OBO, ENVO), and strong organizational and task management skills. Experience with proteomics or metabolomics data types, and version control through platforms like GitHub is highly recommended.
Responsible AI - Data Science Manager - Accenture, Various USA
We’re looking to grow our Responsible AI team and if you’re an experienced Data Scientist with a Responsible AI background, we’d love to hear from you. As a Responsible AI Data Science Manager, you’ll be highly experienced in building state of the art models to solve difficult business challenges and you’ll be growing your team leadership and mentoring skills. But you’ll also have at least two years’ experience looking at responsible aspects such as AI model Fairness, Transparency, Explainability, Robustness, Soundness and Privacy – preferably gained in a client-facing environment.
Director of Bioinformatics - Resilient Biotics, Durham NC USA
Resilient Biotics is seeking an exceptional leader in computational biology and bioinformatics to join our R&D team. The successful candidate will design and lead the execution of the company’s bioinformatic strategy for the analysis of multi-omics datasets to support microbiome therapeutic development programs and identify new biomarkers and therapeutic targets. The candidate will be responsible for building and managing a computational biology team to enable R&D milestones and manage internal databases, data infrastructure and visualization. The successful candidate will be adept at the integration of host-microbiome datasets, well versed in next-gen sequencing technologies and analysis pipelines, and possess extensive knowledge of biological systems, including understanding complex microbiome communities.
Manager, Analytics, Institutional Research - Western Governors University, Salt Lake City UT USA
Lead a team of business analysts regarding analytics deliverables. Partner with key stakeholders and leaders to understand their business challenges and opportunities, craft analytical solutions, ensure data availability and enable their teams to understand critical performance indicators and trends. Delegate work assignments and help ensure proper bandwidth allocation across team members.
Software Development Manager - Quantum Software - Xanadu, Toronto ON CA
Xanadu is looking for an experienced Software Development Manager to lead the Core Quantum Software team. The team is developing PennyLane, an open-source framework for quantum machine learning, quantum computing, and quantum chemistry. Although quantum software development experience is not required for the role, an advanced degree in physics is strongly preferred.
Sr. Manager Software Development, Advanced Technology Group - AMD, Markham ON CA
AMD Advanced Technology Group is an entrepreneurial research and development team to build AMD’s future advanced platforms & products. Our teams work closely with outside customers and internal teams to develop hardware, software, and systems solutions into next generation computing platforms. As part of AMD Advanced Technology Group, you will have the opportunity build a winning team that will collaborate with internal teams & customers, explore new platform technologies, and lead the development of best-in-class hardware, software, and systems technologies that our customers will use for real-world problems.
Head of Data Coordination Platform, Human Cell Atlas - Broad Institute, Boston MA USA
Over the first five years of the project we, along with an international network of collaborators, have developed the Data Coordination Platform infrastructure for the Human Cell Atlas: a program funded by Chan-Zuckerberg Initiative that serves to create a comprehensive reference atlas of cells in the human body. The Head of the Data Coordination Platform will be one part product leader and one part program leader, responsible for ensuring our software meets the needs of this global community.
Research and Development Manager, Biomedical Visualization - Harvard University, Boston MA USA
The Gehlenborg Lab in the Department of Biomedical Informatics at Harvard Medical School is funded to develop data visualization tools and user interfaces for multiple national and international consortium projects such as the Human BioMolecular Atlas Program (HuBMAP), the Cellular Senescence Network (SenNet), the Human Tumor Atlas Network (HTAN), the Kidney Precision Medicine Network (KPMP), the Human Cell Atlas (HCA) and the 4D Nucleome Consortium (4DN). You will contribute to our mission by managing the development and design teams that are building, maintaining, and enhancing our software products in close collaboration with the principal investigator and researchers in the team. Your key responsibilities will include participation in strategic planning, oversight of day-to-day operations, and reporting to funders. Furthermore, you will work with the principal investigator and researchers on identifying opportunities to apply our software tools to new scientific problems, establishing and maintaining collaborations, disseminating our work through a wide range of channels including scientific publications and social media, and obtaining new funding.
Manager, Research Analytics - Paramount, London UK
The Manager is responsible for managing international performance data and analytics across platforms for various stakeholders. This involves regular and ad-hoc requests, ensuring the data is correct and providing analysis and insights to identify trends and issues to help stakeholders understand performance and make data-led decisions. The role is closely involved in the development, testing and maintenance of the suite of research dashboards and works closely with the BI Operations team to ensure research data management is correct, efficient and in line with business requirements. The Manager will also be expected to proactively input and assist on initiatives such as system developments, new reporting, enhancements and automation. Additionally, the Manager will help oversee the forecasting process and 3rd party research services and tools for International.
Centre Manager, Cambridge Centre for AI in Medicine - University of Cambridge, Cambridge UK
Duties will include overall project management for the £7m grant, liaising with key personnel at the participating organisations, providing support in implementing and providing input for strategic planning, overseeing the operation and ensuring deliverables are achieved. The role holder will support the Centre lead across the range of their responsibilities including advising on policies and procedures; supporting post-grant awards and Centre finances; arranging Centre-related events; facilitating student recruitment and supporting other Centre members, and working closely with colleagues from across the University administration to facilitate the aims of the Centre.
Head of Informatics - Plexium, San Diego CA USA
Plexium is a pharmaceutical company focused on developing first-in-class protein degrader therapeutics that go beyond the limitations of bivalent degraders and cereblon molecular glues. The Head of Informatics will create and build Plexium’s in-house Informatics function. Informatics is a critical and core component of Plexium’s ambition to build and grow the premier targeted protein degradation platform. As a result, the Head of Informatics will be instrumental in creating and building this capability within Plexium that will accelerate key programs and advance its aspirations to become the premier TPD company.
Head of Software Engineering - Leidos, McLean VA USA
Leidos is seeking a Head of Software Engineering to join our team! The dynamic leader will be a key part of the Leidos team supporting Connected Automated Vehicle (CAV) research across the US through our work at the U.S. Department of Transportation’s (USDOT) Saxton Laboratory (STOL), located at the Turner Fairbank Highway Research Center in McLean, VA. Our team helps to develop emerging technologies to improve transportation safety, mobility, and environmental impacts. The STOL provides a variety of services to support the advancement and deployment of vehicle-to-infrastructure technologies.
Manager – Research Computing Infrastructure - Northwestern University, Evanston IL USA
The Research Computing Infrastructure team is responsible for Northwestern University’s High-Performance Computing infrastructure. This consists of a fleet of physical servers, back-end storage, operating system, integrated networking, parallel filesystem, scheduler, cloud-based infrastructure, and other associated infrastructure and applications. This could also include consulting with researchers on the best solutions for their workload with could consist of deploying and managing non-HPC infrastructure. As Manager, you will lead a group of system engineers responsible for managing the HPC environments. Such duties include developing staff through mentorship and training, prioritize and delegate tasks and projects, and tightly coordinate with Research Computing Services to deliver stable, consistent solutions for the Northwestern research community. In this role, fostering and maintaining a positive and inclusive work environment is essential. You will have the opportunity to work with university leaders and peer institutions, and develop and maintain essential relationships across Northwestern University schools and departments.
Head of R&D Data Foundations - Sanofi, Toronto ON CA or Cambridge MA USA
Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions. This has enabled us, to accelerate R&D, improve manufacturing and commercial performance, and bring novel drugs and vaccines to patients faster, all in order to improve health and save lives. You are an experienced software engineer who is interested in designing and developing comprehensive solutions to support and facilitate business operations. You have a strong understanding of back-end and front-end technologies and have experience implementing highly functional solutions that can scale.
Sr. Product Manager for Hybrid/Cloud HPC/AI Solutions - Pengin Computing, Remote USA
Penguin is looking for a Senior Product Manager, Hybrid and Cloud HPC/AI to to work within our Cloud and Services Business team. The Senior Product Manager, Hybrid and Cloud HPC/AI is a high-impact position where you will have the opportunity to signifantly influence the product strategy for a new Penguin product offering. You will shape the product vision, prioritize features, and refine solution definitions within a portfolio of offerings by understanding the nuances of your customers’ journeys. You will get to work within a rapidly growing business and have a large impact every day.
Program Manager, Amazon Sustainability Data Initiative, Global Impact Computing - AWS, Arlington VA USA
AWS’s Global Impact Computing team makes advanced cloud compute services accessible to the leaders of the most consequential social impact organizations globally in Sustainability, Conservation, Health Care/Life Science, Learning/Education, Equity/Justice, and Impact Investment/Market Mechanisms. Within the AWS Impact Computing, the Amazon Sustainability Data Initiative (ASDI), a tech for good program, seeks to accelerate sustainability research and innovation by minimizing the cost and time required to acquire and analyze large sustainability datasets. We are looking for a customer obsessed, results-oriented candidate to define and support mechanisms to effectively manage sustainability related interactions with AWS customers, including managing the Amazon Sustainability Data Initiative. The ASDI Program Manager will manage all the operational aspects of the initiative, including the core activities related to expanding and maintaining the ASDI data catalog, running the ASDI grants program, and support efforts to promote innovation and problem solving for sustainability using cloud-based technologies.