Member of Technical Staff - Forward Deployed Scientist
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Before you apply
SalaryNo pay range posted
LocationSouth San Francisco
Work modeon-site
Typefull-time
SeniorityLead
DepartmentTechnical Staff
EquityIncluded
Company size5+ people
PostedJul 8, 2026 · 3mo ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
PhD training in a relevant field (or MD/PhD or equivalent)
Industry experience in biotech or pharma (computational biology, bioinformatics, or a closely related function)
Solid engineering skills: writing code, building pipelines, and working with biological data at scale
Comfort working directly with enterprise customers and translating their scientific needs into technical requirements, including running training sessions
A strong communicator who can explain complex ideas clearly to both scientists and executives
Ability to move quickly in a fast-paced research and product environment
Deep expertise in at least one area: Discovery, IND-Enabling (preclinical), or Clinical & Translational
AI-native working style; fluent with modern AI coding tools and agent-based workflows
Experience with LLMs, agents, or AI/ML systems applied to biomedical problems
Familiarity with foundation models: genomic foundation models, protein language models, or vision models for pathology/imaging
Depth in more than one of the three areas above, or breadth across multiple biomedical domains
Area-specific strengths: structure-based and generative design of small molecules or proteins (e.g., docking, RFdiffusion, ProteinMPNN, ESM) for Discovery, PBPK or QSP modeling (e.g., Simcyp, GastroPlus, NONMEM) for IND-Enabling, epidemiology/biostatistics (CDISC data standards, digital biomarkers) for Clinical & Translational
Skills
Python
LLMs
AI
ML
Benefits
Health insurance
Dental coverage
Vision coverage
401(k)
Unlimited PTO
Lunch
About Phylo
Phylo is an applied research lab building agentic intelligence to accelerate discovery for every biomedical scientist. We believe AI agents will fundamentally transform how biomedical research is done. Our fast-growing team brings together researchers and engineers across AI and biology, commercializing the Biomni platform.
Our growing team brings together world class researchers and engineers across AI and biology. Backed by a $13.5M seed round led by a16z, Menlo Ventures and Anthropic, and advised by Nobel Prize laureate and pioneering biologists, Phylo is building the next generation of AI systems for the life sciences.
About the Role
Our Scientific Solutions team is where our science meets our customers. We’re hiring forward deployed scientists with industry experience to partner closely with our enterprise customers, raise the scientific bar of our agents, and make sure outputs hold up under real scientific scrutiny.
The role has two parts: One is constructing the bio environment our agents rely on: building and curating the biomedical skills, tools, databases, and data integrations that power them. The other is making sure the science holds up: designing evaluation pipelines and benchmarks, and doing direct scientific review to measure whether agents meet the standards of working scientists. You’ll do both while embedded with customers: running training sessions, scoping and delivering solutions on high-stakes projects, and feeding what you learn back into the product.
We’re building a team that spans the drug R&D pipeline, so we’re hiring across three areas of depth: discovery, IND-enabling, and clinical/translational. You don’t need all three; you need to go deep in at least one and be conversant across the rest.
What you’ll do as a Member of Technical Staff - Forward Deployed Scientist at Phylo:
•
Partner with enterprise customers in biotech and pharma to understand their scientific workflows and bring those needs into the product.
•
Construct bio environments for our agents: build and curate biomedical skills, tools, databases, and data integrations that expand what agents can do.
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Evaluate agent performance across biomedical domains through internal benchmarks, structured evals, and direct scientific review.
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Validate the scientific accuracy and rigor of agent outputs and drive improvements back into the product with the AI team.
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Deliver in the field: run training sessions, help customers scope and solve real problems, and own delivery from first hypothesis to production.
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Serve as the scientific voice in customer engagements, deployments, and feedback loops.
What We’re Looking For:
•
PhD training in a relevant field (or MD/PhD or equivalent), with strong command of common biomedical tools, databases, and analytical workflows.
•
Industry experience in biotech or pharma (computational biology, bioinformatics, or a closely related function).
•
Solid engineering skills: writing code, building pipelines, and working with biological data at scale.
•
Comfort working directly with enterprise customers and translating their scientific needs into technical requirements, including running training sessions.
•
A strong communicator who can explain complex ideas clearly to both scientists and executives.
•
Ability to move quickly in a fast-paced research and product environment.
•
Deep expertise in at least one of the following areas (and comfort collaborating across the others):
•
Discovery: identifying and optimizing therapeutic candidates across modalities. On the small-molecule side: screening (biochemical, cell-based, or phenotypic), hit-to-lead, and lead optimization; SAR analysis and medicinal chemistry / cheminformatics; chemical and bioactivity data (e.g. ChEMBL, PubChem). On the biologics side: protein and binder design, antibody discovery, de novo protein design, protein engineering, and affinity maturation.
•
IND-Enabling (preclinical): nonclinical safety and toxicology, DMPK, PK/PD modeling, exposure-response and dose selection; familiarity with the regulatory requirements and study designs that support an IND filing.
•
Clinical & Translational: biomarker strategy, mechanism-of-action confirmation, patient stratification, and translational PK/PD; early clinical development (Phase 1/2, first-in-human); real-world evidence and clinical data (EHR, claims, registries; RWD analysis for effectiveness and safety).
Nice to Have
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AI-native working style; fluent with modern AI coding tools and agent-based workflows.
•
Experience with LLMs, agents, or AI/ML systems applied to biomedical problems.
•
Familiarity with foundation models: genomic foundation models, protein language models, or vision models for pathology/imaging.
•
Depth in more than one of the three areas above, or breadth across multiple biomedical domains (genomics, proteomics, drug discovery, clinical data).
•
Area-specific strengths, such as: structure-based and generative design of small molecules or proteins, e.g. docking, RFdiffusion, ProteinMPNN, ESM (Discovery); PBPK or QSP modeling, e.g. Simcyp, GastroPlus, NONMEM (IND-Enabling); epidemiology / biostatistics, CDISC data standards, digital biomarkers (Clinical & Translational).
Why Join Us?
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Competitive salary and equity share in building the future of biomedical discovery
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Full medical, dental, and vision coverage, including free therapy sessions and eyewear stipend
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401(k) to help you build long-term financial security (US only)
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Unlimited PTO to recharge when you need it (US only)
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Lunch and snacks when you’re in the office
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Regular team offsites and company events
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A culture of excellence and speed - we move fast, think big, and support each other every step of the way
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Your work will directly impact our mission to 100X biomedical discoveries through AI