Senior Developer Relations Lead, AI-Enabled Drug Discovery Science - CA, Santa Clara, United States
$224,000 - $431,250 USD yearly
Originally posted 18 September 2026 by the employer — open 1 day.
About the role
This role involves leading science streams at the intersection of RNA therapeutics, experimental data generation, computer-based modeling, mechanization, and translational science.
What you'll do
- Coordinate the operating plan across research priorities, execution, and program achievements.
- Convert scientific therapeutic objectives into executable plans.
- Lead NVIDIA workstreams spanning data curation & analysis, machine learning, automation, and platform engineering across scales of biology.
- Collaborate on assay and readout strategies for AI prepared efficacy, selectivity, adaptability, translatability, and safety data.
- Guide closed-loop learning across AI-generated hypotheses, automated experiments, multiplexed readouts, model updates, and science decisions.
- Establish science-stream governance including reviews, decision logs, risk and dependency tracking, quality thresholds, and blocking issue resolution.
What you'll need
- PhD experience in research within life sciences, therapeutic discovery, chemical biology, molecular pharmacology, computational biology, bioengineering, or a related field, or equivalent experience.
- 12+ years of research or drug-discovery experience in therapeutic discovery, platform biology.
- Deep understanding of therapeutic development and translational biology, including target identification, experimental context, efficacy/selectivity tradeoffs, safety considerations, and data quality.
- Experience leading large interdisciplinary teams that combine experimental science, computational modeling, automation, assay development, data analysis, data platforms, and working alongside external partners.
- Proven track record to lead in matrixed environments where scientific direction, program priorities, and execution accountability are shared across organizations.
- Proficiency with high-content and high-throughput data generation, including molecular, cellular, and functional readouts, assay quality control, label definition, experimental composition, and model validation.
Skills: AI-Enabled Drug Discovery, RNA therapeutics, computational biology, machine learning, platform engineering, experimental science
This role has been open 0 days — well below the 53-day median for Technical Program Management roles.
Technical Program Management · AI ML Hardware
|
Open roles in category
67
|
Median days open
53 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (67 roles · 18 employers) |
|---|---|---|
| Open roles in this specialty | 20 | 67 |
| Median days open | 67 d | 53 d (+14 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: AI-Enabled Drug Discovery, RNA therapeutics, computational biology, machine learning, platform engineering, experimental science
Who's hiring in this category
- NVIDIA (this employer) · 19 open roles · median 78 d
- Qualcomm · 9 open roles · median 53 d
- Lam Research · 8 open roles · median 39 d
- AMD · 6 open roles · median 41 d
- Micron Technology · 5 open roles · median 36 d
- Tenstorrent · 3 open roles · median 86 d
How we counted: 67 open Technical Program Management (AI ML Hardware) roles from 18 employers tracked in the SemiconductorJobs index, counted 19 Sept 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there. Figures refresh nightly.