CLINICAL PHARMACOLOGY TALENT SOLUTIONS
At Harnham, we excel in connecting organizations with top-tier clinical pharmacology talent, professionals who specialize in understanding the effects of drugs in humans. Our experts are pivotal in advancing drug development, optimizing therapeutic regimens, and ensuring patient safety.
Clinical pharmacology professionals are in high demand for their expertise in areas such as pharmacokinetics, pharmacodynamics, drug metabolism, and clinical trials. Proficiency in using modeling software like NONMEM, Phoenix WinNonlin, and R, along with experience in regulatory submissions, is highly sought after.
WHY
HARNHAM?
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- Specialization in Clinical Roles: With over 17 years of recruitment expertise, we have a deep understanding of the qualifications and experience needed for top-performing clinical pharmacology professionals.
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- Global Talent Network: We have an extensive network of clinical pharmacology experts across the United States, Europe, and the United Kingdom, ensuring access to the best talent worldwide.
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- Customized Recruitment Strategies: Our services are tailored to meet your specific needs, whether you're seeking interim, permanent, or leadership-level candidates.
OUR
SERVICES
ATD - Rockborne: Graduates with advanced clinical pharmacology training, ready to contribute to your team immediately.
Contract / Freelance: Flexible staffing solutions to meet project-specific demands swiftly.
Full-Time / Direct Hiring: Securing long-term clinical pharmacology talent to support your research and development goals.
Executive Search: Identifying strategic leaders who can drive innovation within your clinical pharmacology team.
GenAI, Prompt, LLM Training: Tailored programs designed to enhance the skills of your existing clinical pharmacology team.
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Partner with Harnham
Whether you're looking to expand your team or seeking your next career move, we connect you with the clinical pharmacology talent or opportunities you need. Contact us to learn more about our specialized recruitment services.
For Job Seekers
Interested in clinical pharmacology opportunities? Explore the latest roles with us and advance your career.
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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