Hiring.Camp

2027 Spring Co op Bioanalytics Cambridge MA

Sanofi

·

Yesterday

Location
Cambridge, United States of America
Type
Full-time
Education
PhD
Visa
Not sponsored
Closing date
Today
Source
Workday

Description

Job Title: 2027 Spring Co-op Bioanalytics

  • Grade: Co-op

  • Location: Cambridge, MA

  • Duration: 6 months

About the Job

Looking to launch your career at the cutting edge of healthcare? Join Sanofi for a chance to develop with mentoring and guidance from inspirational leaders while helping to make an impact on the lives of countless people worldwide.

The non-clinical bioanalysis team within the Translational Medicine Unit (TMU) LabSci department at Sanofi is searching for a co-op to join their team. This team develops bioanalytical assays to understand pharmacokinetics (PK) and pharmacodynamics (PD) and interacts with allied functions for first-in-human (FIH) dose predictions.

This co-op will be a part of the dynamic team, and work on developing novel LC-MS-based methods to support non-clinical PK/PD

Ready to grow your skills while helping shape the future of healthcare? At Sanofi, you’ll be empowered to learn, ask questions, and bring your ideas to life – all while supported by inspiring mentors and collaborative teams.

About Sanofi

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

Main Responsibilities:

  • With supervision, design, develop and fit-for-purpose qualify PK LC-MS assays in preclinical setting for biologics and AOCs (Antibody oligonucleotide conjugates).

  • Develop sample preparation approaches such as protein precipitation, solid phase extraction, Immunoprecipitation, enzymatic digestions etc.

  • Develop LC-MS/MS and LC-HRMS for intact protein analysis, middle-up approach or bottom-up approach.

  • Use these methods to characterize pharmacokinetic profile of constructs, including integrity analysis.

  • Analyze samples to support pharmacokinetic and pharmacodynamic analysis for discovery and preclinical studies.

  • Report and discuss bioanalytical and biomarker results with integrative knowledge of how the data contributes to the drug development process

  • Actively contribute to scientific discussions

About You

Basic Qualifications:

  • Currently pursuing a PhD degree in biochemistry, biotechnology, pharmaceutical sciences or related health sciences at an accredited college or university, with an expected graduation date no later than Dec 2028.

  • Must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship 

  • Must be enrolled in an accredited college or university throughout the duration of the co-op/internship 

  • Must be able to relocate to the office location and work 40hrs/week, Monday-Friday, for the full duration of the co-op/internship

  • Knowledge of pharmacokinetics (PK) and pharmacodynamics (PD) concepts and their role in drug development

  • Expertise in at least one mass spectrometry platform: either high-resolution mass spectrometry (time-of-flight or Orbitrap) or triple quadrupole mass spectrometry

  • Good understanding of protein analysis on at least one of the following platforms: Thermo, Waters, or Sciex

  • Experience with at least one extraction technique for protein quantitation in biological matrices (plasma and/or tissues), such as protein precipitation, solid phase extraction, immunoprecipitation, or enzymatic digestion

  • Knowledge of proteomics tools, including protein database queries and protein sequence analysis

​Preferred Qualifications:

  • Experience utilizing (AI) artificial intelligence tools for drug discovery and development.

  • Scientific curiosity, appetite for teamwork, and strong problem-solving skills

  • Excellent organizational and documentation skills

  • Good written and oral communication skills along with the ability to work collaboratively in a team setting

  • Demonstrated ability to work independently to develop and/or qualify bioanalytical assays

Why Choose Us

  • Bring the miracles of science to life alongside a supportive, future focused team.​

  • Stretch your skills through apprenticeships, internships, graduate programs, and international experiences that grow with you.​

  • Learn from inspiring mentors and collaborative teams while contributing to real projects that shape the future of healthcare.​

  • Build your future with access to the latest tools, digital innovation, and continuous learning that keep you ahead of the curve.​​

Compensation

The salary for this position is $57 hourly. All compensation will be determined commensurate with demonstrated experience.

#LI-Onsite

#vhd

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

Sanofi US endeavours to make our career center accessible to any and all users. If you are experiencing difficulty and need assistance applying online, please call 1-866-SANOFI2 (1-866-726-6342) or click here



US and Puerto Rico Residents Only

Sanofi Inc. and its U.S. affiliates are Equal Opportunity employers committed to a culturally inclusive workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

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