Senior Engineer III, Small Molecules – High Throughput Screening & Technology
Key Responsibilities
- End-to-end ownership of screening workflows
- Own HTS and Drug-Seq-linked workflows (workcell and walk-up), including design, execution, QC, and data handoff
- Translate program objectives into executable workplans with realistic timelines and risk trade-offs
- Assay & workflow development
- Develop, optimize, and qualify phenotypic and viability assays (e.g., imaging + CTG, Drug-Seq primary/secondary)
- Systematically improve throughput, data quality, and cost via experimental design and automation improvements
- Support continued development of new workflows on Ginkgo’s internal automation solutions (RACs)
- Operational ownership & risk management
- Lead day-to-day operations of relevant workcells and walk-up methods (e.g., HTS chemical Drug-Seq workcell, RT workcell, library prep handoff)
- Drive root-cause analysis and corrective/preventive actions when runs fail or deviate from expectations
- Leadership, mentoring, and training
- Provide technical leadership and day-to-day guidance for operators and junior scientists on screening workflows
- Contribute to the Datapoints skill matrix by defining training levels, shadowing plans, and up-leveling operators on key assays (e.g., HTS workcell, Drug-Seq RT, imaging)
- Ph.D. in biology, bioengineering, chemistry, chemical engineering or related field and 3+ years relevant industry experience; or M.S. with 5+ years; or B.S. with 7+ years in high-throughput experimental biology
- Deep hands-on experience with high-throughput screening in at least one of:
- Small-molecule phenotypic or viability screens,
- Functional genomics / perturbation screens (e.g., CRISPR, RNAi, barcoded libraries),
- NGS-linked assays such as Drug-Seq or similar
- Strong experimental design and statistical thinking for multi-plate datasets (controls, replication, plate effects, hit-calling)
- Proven ability to lead without formal authority, coordinating across biologists, automation engineers, and computational scientists
- Excellent written and verbal communication skills, including clear documentation and stakeholder updates
- Direct experience with one or more of:
- Drug-Seq or similar NGS-based transcriptomic screening workflows (RT workcells, library-prep interfaces, QC)
- Imaging + CTG (or analogous) paired readouts for viability/phenotypic screening
- Complex compound management and cherrypicking schemas, including randomization and replication logic
- Experience operating or designing workflows involving:
- HTS workcells (384-well or denser formats) and walk-up methods
- NGS prep workflows (RT, library prep, QC, and data integration)
- Prior experience mentoring and managing 1–3 scientists/engineers
- Experience supporting multiple programs simultaneously
- Datapoints programs experience predictable, high-quality screening output with clear QC and minimal unplanned failures
- Critical screening and automation workflows are documented, resilient, and transferable, with multiple trained operators
- New team members ramp quickly on your workflows due to strong documentation, training plans, and mentorship
- You are recognized as a core technical leader for Datapoints screening and automation, and as a key partner to both execution and strategy across the portfolio
- Comprehensive benefits package including medical, dental & vision coverage, health spending accounts, voluntary benefits, leave of absence policies, 401(k) program with employer contribution, 8 paid holidays in addition to a full-week winter shutdown and unlimited Paid Time Off policy
- Ginkgo has implemented a return to office policy effective October 1, 2025 with required in-office days 3x per week on Tuesday, Wednesday, Thursday. Some teams may require to be onsite 4-5 days per week and this will be discussed as part of the interview process.
- This policy applies to all employees who live within 50 miles of Ginkgo’s offices in Boston, MA, Emeryville, CA and West Sacramento, CA.
Minimum Qualifications
Preferred Qualifications
What Success Looks Like
Pay
The base salary range for this role is $160k-$180k. Actual pay within this range will depend on a candidate's skills, expertise, and experience.
Benefits
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