COMPUTATIONAL BIOLOGY
TALENT SOLUTIONS
Harnham specializes in connecting organizations with top-tier computational biologists who apply data science techniques to solve biological problems. Our computational biology professionals contribute to breakthroughs in genomics, systems biology, and beyond.
Computational biologists are in high demand for their expertise in bioinformatics, statistical analysis, and proficiency with tools such as R, Python, and MATLAB. Skills in large-scale data analysis, machine learning, and managing biological databases are particularly valued.
WHY
HARNHAM?
- Data Science Focused: With over 17 years of expertise in recruiting for data-driven roles, we know what it takes to find the best computational biology talent.
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- Broad Talent Network: Our reach extends across the United States, Europe, and the United Kingdom, connecting you with exceptional computational biologists worldwide.
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- Customized Hiring Solutions: Whether you need contract, permanent, or executive hires, our recruitment strategies are designed to meet your unique needs.
OUR
SERVICES
- ATD - Rockborne: Graduates who are well-versed in the latest computational biology techniques and ready to make an immediate impact.
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- Contract / Freelance: Interim professionals to provide flexibility and expertise for specific projects.
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- Full-Time / Direct Hiring: Permanent recruits who can help achieve your long-term research goals.
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- Executive Search: Identifying leadership talent to spearhead your computational biology initiatives.
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- GenAI, Prompt, LLM Training: Advanced training programs to enhance the capabilities of your computational biology team.
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Partner with Harnham: Whether you are looking to build your team or take the next step in your career, Harnham is your partner in computational biology recruitment. Contact us to discuss your needs.
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For Job Seekers: Ready to explore new opportunities in computational biology? 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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