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HomeCompaniesStylus MedicineSenior Scientist, Upstream Process Development

Senior Scientist, Upstream Process Development

Stylus Medicine · Cambridge, Massachusetts, United States · Active · $155,000–$170,000 / year · Greenhouse

Job facts

FieldValue
CompanyStylus Medicine
TitleSenior Scientist, Upstream Process Development
Normalized title-
Department / teamCMC Technical Operations
LocationCambridge, MA, United States
Work model-
Employment type-
Salary$155,000–$170,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-04-07 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Stylus Medicine.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Cambridge.Open
Department jobsActive postings in CMC Technical Operations.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyStylus Medicine
Sourceea13b7e6-2992-4851-886b-720a585f2587
ATS providerGreenhouse

Description

About Stylus Medicine: Stylus Medicine is developing transformative in vivo genetic medicines to unlock cures. Stylus combines engineered recombinases with non-viral delivery to specifically encode therapeutics. The company’s approach is versatile and modular, with potential therapeutic application across oncology, autoimmune, genetic diseases, and beyond. About the Role: Stylus Medicine is seeking an intellectually curious and collaborative Senior Scientist, who will lead the development of upstream microbial fermentation processes as part of our CMC Tech Ops team. This role will be responsible for process definition, development, characterization, scale-up and tech transfer from bench scale to pilot. Working closely with the Research, Preclinical, and Formulation teams, this is a special opportunity to advance the development of transformative in vivo genetic medicines. Key Responsibilities & Accountabilities: Develop scalable production processes for nucleic acids and recombinant proteins Leverage expertise in fermentation and mammalian cell culture to design, optimize, scale-up and characterize production processes Independently utilize multivariate design of experiment (DoE) approaches to improve productivity and optimize parameters for product quality Drive fermentation platform development and new technology implementation to improve process performance, generation of predictive process models, and enhance process control and robustness Design and implement in-process analytics to improve productivity while reducing process and product derived impurities Maintain and troubleshoot equipment to ensure consistency and continuity of operations Document, analyze and present experimental results internally and externally Partner with CDMOs and provide technology transfer support to facilitate scale up Interface with cross-functional teams to ensure programs are on track and stakeholders’ needs are met Maintain accurate and reliable record keeping including database management, batch records, notebooks, and all other pertinent documentation Qualifications & Skills: PhD in Chemical/Biomedical Engineering, Biochemistry, Pharmaceutical Sciences, or related discipline with >4 years of experience, or BS/MS with >8 years of experience in biopharmaceutical or biotechnology development, including experience in developing scalable fermentation processes for producing plasmid DNA and/or recombinant products In-depth experience and knowledge in fermentation process development, optimization, and process scale-up / scale-down model development Familiarity with strain engineering and biocatalysis Familiarity with performing operations in a cleanroom environment, applying controls to ensure aseptic processing Demonstrated ability to coach and mentor junior researchers Independently motivated and good problem-solving ability Attention to detail and accuracy in developing, reviewing, and following protocols, SOPs, batch records and technology transfer documents is a must Demonstrated ability to work collaboratively across teams to meet project deliverables and timelines Strong communication, decision-making and organizational skills Proficiency with statistical analysis software (e.g., JMP) is highly desired Prior experience partnering with external CDMOs and conducting tech transfers preferred Pay Range: $155,000 - $170,000

Full job record

Job ID48a011b120068c50dd849ab8ca3182acb894db99
Org IDf5d2ecff-f64d-4b4a-af2f-656e8f29a3d3
Source IDea13b7e6-2992-4851-886b-720a585f2587
Board IDea13b7e6-2992-4851-886b-720a585f2587
Providergreenhouse
Provider Job Key5100902007
TitleSenior Scientist, Upstream Process Development
Normalized Title
Statusactive
Activeyes
Location TextCambridge, Massachusetts, United States
DepartmentCMC Technical Operations
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
RegionMA
CityCambridge
Salary RawPay Range: $155,000 - $170,000
Salary Min155,000
Salary Max170,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/stylusmedicine/jobs/5100902007
Apply URLhttps://job-boards.greenhouse.io/stylusmedicine/jobs/5100902007
First Seen At2026-05-29 23:03:39Z
Last Seen At2026-06-06 07:35:59Z
Last Checked At2026-06-06 07:35:59Z
Last Changed At2026-05-29 23:03:39Z
Inactive At
Source Posted At2026-04-07 10:48:19Z
Source Updated At2026-04-07 10:56:55Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=stylusmedicine/date=2026-06-06/2026-06-06T07-35-59-798Z-0b819f97fe8dca8476a1354dc39cc7d83cf92a5cb20cb3366b42d5cfd5295505.json
Event Fields
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  "last_changed_at": "2026-05-29T23:03:39.233Z",
  "active_status": "active"
}
Parsed Structured
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  "salary_max": 170000,
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  "remote_policy": null,
  "salary_period": "year",
  "workplace_type": null,
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
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