Senior Director, Protein Analytics and Biophysics
Clinical-stage generative biology company using machine learning for protein therapeutics, Boston area
| Employer | Clinical-stage generative biology company using machine learning for protein therapeutics, Boston area (not named) |
|---|---|
| Location | Somerville, MA (Boston) · On-site |
| Type & level | Full-time · Director |
| Pay | Not stated in the posting · BLS median for medical scientists: USD 103,410 Source: U.S. Bureau of Labor Statistics, Occupational Outlook Handbook (2025 national median); the source posting states no pay |
| Visa path | O-1A fit (senior candidates) |
| Role family | Protein Design & Structural Biology Scientist |
About the role
This leader runs the function that measures biophysical, biochemical and binding properties of protein therapeutics. The role covers established analytical methods and newer pooled, miniaturized and nanoscale assays that can keep pace with the volume of machine-learning-generated designs. The role exists to make sure measurement data is good enough to train models and decide which candidates advance.
What you'll do
- Set the multi-year scientific and organizational strategy for protein analytics, biophysics, developability and protein interaction measurement.
- Oversee conventional workflows such as chromatography, mass spectrometry, electrophoresis, thermal stability, light scattering and biosensor assays.
- Drive development of pooled, multiplexed, microfluidic and nanoscale assays that cut sample use and raise throughput.
- Set data standards, assay controls and quality expectations so high-throughput results can be used for model training and candidate triage.
- Work with prototyping, automation, data science, machine learning, protein sciences and CMC teams to scale new assay concepts into production.
- Build and mentor managers and senior scientists, and manage CRO, academic and vendor relationships.
Requirements
- PhD in biophysics, biochemistry, molecular biology, bioengineering, protein engineering or a related field, or equivalent industry depth.
- 12 or more years in biopharma, biotech or protein engineering, with substantial leadership of protein analytics, biophysics and developability.
- Track record of building or scaling novel assay platforms, especially miniaturized, pooled, multiplexed or barcode-enabled formats.
- Deep expertise in methods such as SEC, LC/MS, CE-SDS, cIEF, DSF, DSC, DLS, SEC-MALS, SPR and BLI.
- Strong grasp of affinity, kinetics, specificity and epitope binning, plus a quantitative approach to assay statistics.
- Experience leading leaders and influencing executives in a matrixed organization.
Nice to have
- Experience building platform capabilities for machine-learning-enabled discovery or closed-loop design-build-test-learn cycles.
- Experience with pooled screening, DNA-encoded or sequencing-based readouts, or display technologies.
- Experience with very low-input assays using microfluidics, acoustic dispensing or advanced imaging.
- Experience as an external scientific spokesperson or conference presenter.
Pay & benefits
Not stated in the posting · BLS median for medical scientists: USD 103,410. The posting does not list benefits.
Pay source: U.S. Bureau of Labor Statistics, Occupational Outlook Handbook (2025 national median); the source posting states no pay. Market data, not an offer from O1DMatch.
Visa path
People in senior scientific leadership roles like this often support an O-1A case with publications, patents, invited talks, peer review, and documented leadership of high-impact platforms or teams. The posting states no citizenship restriction. An employer like this or a U.S. agent can file the petition, and approval depends on the individual's evidence.
How to get matched
- Take the free eligibility checkAn AI review of your background against the eight O-1 criteria, at check.o1dmatch.com.
- Create your profile with code WORKWITHUSIt unlocks the Starter plan at no cost. Tell us your field and the work you do today.
- Upload your evidenceEach document is sorted under the criterion it supports, and your criteria map shows what is still missing.
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