RESEARCH INFORMATICS TALENT SOLUTIONS
Harnham excels in recruiting research informatics professionals who integrate data science with laboratory research, enabling breakthroughs in scientific discovery. Our experts in research informatics manage and analyze research data to accelerate innovation.
Research informatics professionals are valued for their skills in data management, bioinformatics, and proficiency in programming languages such as Python, R, and SQL. Expertise in laboratory information management systems (LIMS) and electronic lab notebooks (ELN) is particularly sought after.
WHY
HARNHAM?
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- Proven Track Record: With over 17 years of experience, we have a deep understanding of the qualifications needed for success in research informatics.
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- Extensive Talent Network: Our global network includes top-tier research informatics professionals from the United States, Europe, and the United Kingdom.
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- Customized Hiring Solutions: We provide recruitment services that are designed to meet your specific needs, whether for contract, permanent, or executive roles.
OUR
SERVICES
- ATD - Rockborne: Graduate consultants with advanced training in research informatics, ready to contribute to your team.
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- Contract / Freelance: Flexible solutions to quickly meet your research project needs.
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- Full-Time / Direct Hiring: Identifying permanent team members who can support your long-term research goals.
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- Executive Search: Locating senior-level talent who can lead your research informatics initiatives.
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- GenAI, Prompt, LLM Training: Tailored training programs to enhance the skills of your research informatics team.
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Partner with Harnham: Whether you're looking to expand your team or advance your career in research informatics, Harnham connects you with the talent and opportunities you need. Contact us to learn more.
For Job Seekers: Ready to explore new opportunities in research informatics? Check out the latest job openings we have available.
JOBS
LATEST
OPPORTUNITIES
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
ML Scientist
San Francisco
$200000 - $280000
+ Life Science Analytics
PermanentSan Francisco, California
To Apply for this Job Click Here
ML Scientist / Researcher
Oncology AI · Foundation Models · Life Sciences
Remote
About the Role
We are building foundation models trained on human tumor biology – one of the most consequential and technically demanding challenges at the intersection of AI and medicine. As an ML Scientist, you will be a core research contributor designing and training these models across multimodal omics datasets, partnering closely with biologists and fellow research scientists to advance the state of the art in oncology AI.
This is a research-forward role for scientists who want their work to matter. We are looking for people with a track record of research excellence – those who have gone deep on model architecture, training dynamics, and rigorous experimental design. If you have built models from the ground up and published findings, we want to talk.
What You’ll Do
- Design and train large-scale foundation models on multimodal biological datasets, including genomics, transcriptomics, and other omics modalities
- Collaborate deeply with computational biologists, research scientists, and domain experts to translate biological questions into tractable modeling problems
- Drive the full research lifecycle: hypothesis formation, experimental design, model development, and rigorous analysis of results
- Contribute to agentic AI systems that reason over complex biological data
- Communicate findings internally and, where appropriate, through peer-reviewed publication
What We’re Looking For
Must-Haves
- Strong research background, typically evidenced by a PhD in machine learning, computational biology, statistics, physics, or a related quantitative field – or equivalent industry research experience
- Demonstrated ability to build and train models end-to-end, including experimental analysis and iteration
- Research excellence: first-author publications at top ML, AI, or computational biology venues are a strong positive signal
- Deep familiarity with foundation model concepts: pretraining, self-supervised learning, attention mechanisms, and large-scale training
- Comfort working at the intersection of biology and machine learning – even without a formal biology degree
Nice-to-Haves
- Experience with biological or omics data (genomics, proteomics, pathology imaging, etc.)
- Prior work in multimodal learning or multi-omics integration
- Familiarity with agentic AI systems or tool-use frameworks
- Background in oncology or disease biology
What This Role Is Not
This is not a production ML engineering or MLOps role. We are not looking for candidates whose primary experience is model deployment, serving infrastructure, or engineering-heavy systems work. The emphasis here is firmly on research depth and model development.
Compensation & Location
Base Salary: $250,000 – $288,000 (depending on experience) + equity
Location: Remote-friendly; office in South San Francisco, CA
To Apply for this Job Click Here
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We’ve been collaborating with Harnham to recruit some key positions for our company, and they have been incredible partners. They team has been great and efficient. They understood our needs perfectly and provided us very talented candidates. We'll keep collaborating with them in the future. Thank you for your excellent job!
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I’ve had a great experience with Harnham. The recruiter provided great advice and ensured that I understood everything, and even followed up with me after I started my new role to see how I was settling in. I would recommend Harnham as a great recruitment company for anyone looking for a role in data and analytics.
