> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # Member of Technical Staff - Forward Deployed Scientist Canonical URL: https://nextmove.md/fde/jobs/03585b42d1ef8a14 Phylo, Inc. posts a FDE role to build what the customer runs in South San Francisco, CA, at $170,000–$275,000 base, above the senior FDE median of $190,000 across 1,849 postings with pay. A customer-embedded scientist who builds biomedical tools and data environments for AI agents, evaluates their performance, and validates the scientific rigor of their outputs. Read from the employer’s posting on November 6, 2026. - [Phylo, Inc.](https://nextmove.md/fde/companies/phylo-inc) Posted Jul 8, 2026 by Phylo, Inc. · open on Ashby as of Nov 6, 2026 **$170,000–$275,000** + equity South San Francisco, CA On-site Full-time A customer-embedded scientist who builds biomedical tools and data environments for AI agents, evaluates their performance, and validates the scientific rigor of their outputs. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F03585b42d1ef8a14&placement=top) - [View posting at Phylo, Inc.](https://jobs.ashbyhq.com/phylo/c5319ac4-5f4d-48bd-8b7f-1bb3025b29b9/application) Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so. ## At a glance ### Posted base pay $170K–$275K Above the median Midpoint $223K · median $190K This job $170K to $275K. Senior FDE postings, 1,849 postings: the middle 50% of posted pay is $160K to $220K, median $190K. ### The work Builds what the customer runs Balance **Mostly building** Project stages 1. Pre-sales (not covered) 2. Proof of concept (not covered) 3. Implementation 4. Operations - **Coding**: Writes production code - **Builds for**: External customers - **Level**: Senior - **Role**: Individual contributor ### Do you meet what the posting states? The posting reads as a senior role. What level are you at now? The job is in South San Francisco, CA. Could you work there? Which of these have you used in production? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: South San Francisco, CA - **Work arrangement**: On-site - **Employment type**: Full-time - **Pay**: ## More like this [Google](https://nextmove.md/fde/companies/google) ### [AI Customer and Partner Solutions Engineer, Cloud Applied AI](https://nextmove.md/fde/jobs/7c6b3d59186ae60b) Kirkland, WA · Sunnyvale, CA 2w ago $183,000–$265,000 [Sim](https://nextmove.md/fde/companies/sim) ### [Forward Deployed Engineer](https://nextmove.md/fde/jobs/f40e24220cfe7740) San Francisco, CA On-site 6w ago $190,000–$250,000 [Flow Engineering](https://nextmove.md/fde/companies/flow-engineering) ### [Senior Software Engineer - Integrations](https://nextmove.md/fde/jobs/82b6f49d675334f9) San Francisco, CA On-site 3mo ago $190,000–$250,000 ## The job description from Phylo, Inc. Posted by Phylo, Inc. on Jul 8, 2026 ### 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. - **Evaluate agent performance** across biomedical domains through internal benchmarks, structured evals, and direct scientific review. - **Validate the scientific accuracy and rigor** of agent outputs and drive improvements back into the product with the AI team. - **Deliver in the field**: run training sessions, help customers scope and solve real problems, and own delivery from first hypothesis to production. - **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 - 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? - Competitive salary and equity share in building the future of biomedical discovery - Full medical, dental, and vision coverage, including free therapy sessions and eyewear stipend - 401(k) to help you build long-term financial security (US only) - Unlimited PTO to recharge when you need it (US only) - Lunch and snacks when you're in the office - Regular team offsites and company events - A culture of excellence and speed - we move fast, think big, and support each other every step of the way - Your work will directly impact our mission to 100X biomedical discoveries through AI [View posting at Phylo, Inc.](https://jobs.ashbyhq.com/phylo/c5319ac4-5f4d-48bd-8b7f-1bb3025b29b9/application) ## About Phylo, Inc. Phylo builds AI agents and research software that help biomedical scientists plan, run, and review scientific work. 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