Staff Forward Deployed Engineer, Life Sciences
Lila Sciences · Cambridge, MA USA
Posted about 2 months ago
or apply directly on Lila Sciences's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 54 days Lila Sciences's roles stay open a median of 55 days
- Reposted
- No
- Salary listed
- No 0% of Lila Sciences's roles list one
- Ghost-job risk at Lila Sciences
- high 104 stale, 2 reposted of 118 open
- Hiring momentum
- 155 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-27
Measured from postings appearing on and disappearing from Lila Sciences's own greenhouse board since 2026-08-03. Full hiring picture for Lila Sciences.
About this role
As a Staff Forward Deployed Engineer at Lila Sciences, you will work closely with biotech and science teams to develop and deploy AI-driven solutions that enhance their capabilities. Your role involves building custom tools for molecular modeling, data analysis, and creating real-time data pipelines, all while ensuring effective communication with both technical and non-technical stakeholders. This position emphasizes rapid development and deployment, with a focus on understanding and solving customer problems.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Lila Sciences as an employer.
What you need
- Background in biology, molecular science, or related scientific field
- Ability to communicate effectively with external partners and internal product and technical leaders
- Experience with data engineering, ETL pipelines, and working with complex datasets
- Strong full-stack development skills with the ability to work across backend, frontend, and data layers
- Exceptional problem-solving abilities and comfort with ambiguous requirements
- Knack for product discovery and an ability to pass well-defined customer requirements back to the product teams
Nice to have
- Previous customer-facing or consulting experience
- Depth in controls engineering and machine learning
- Experience with scientific computing libraries (NumPy, Pandas, SciPy, RDKit)
- Familiarity with ML/AI implementation and deployment
- Familiarity with modern web technologies (TypeScript, React)
What you get
- Competitive base compensation with bonus potential
- Generous early-stage equity
- Comprehensive benefits program including medical, dental, and vision coverage
- Employer-paid life and disability insurance
- Flexible time off with generous company wide holidays
- Paid parental leave
Worth weighing
- No specific technologies or frameworks mentioned for development work
- High level of autonomy required may not suit all candidates
- Role involves significant customer interaction, which may not appeal to all engineers
Summarised from Lila Sciences's posting. Read the full original.
Listed by Lila Sciences on their greenhouse job board, last confirmed open on 2026-09-27. PitchMeAI is not the employer.
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