Jobs · Healthcare · Massachusetts

2027 Spring Co op Bioanalytics Cambridge MA

BioSpace · Cambridge, MA · 3 wk ago
On-siteHealthcare$57/hrVolunteer
We need to output HTML fragment with sections for headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections if posting has real specific content. We need to parse the job posting. Job Title: 2027 Spring Co-op Bioanalytics Grade:Co-op Location:Cambridge, MA Duration:6 months We should not repeat job title as heading. Also not include Job ID/requisition numbers. We need to include sections: About the role (maybe "About The Job" maps to About the role). Responsibilities (Main Responsibilities). Requirements (Basic Qualifications). Qualifications (Preferred Qualifications). Skills (maybe combine knowledge/expertise). Benefits (Why Choose Us maybe includes benefits). Pay (Compensation). Schedule (maybe mention work 40hrs/week Monday-Friday). Also maybe location/duration could be in a short paragraph. We must not include sections with filler like "commensurate with experience" etc. For Pay we have actual salary: $57 hourly. So we can include Pay section with that. Schedule: The posting says "Must be able to relocate to the office location and work 40hrs/week, Monday-Friday, for the full duration of the co-op/internship". So we can include Schedule section with that. Benefits: "Why Choose Us" includes some benefits: apprenticeships, mentors, tools, etc. That's substantive. So include Benefits. We need to preserve all substantive information; do not invent or summarize away detail. So we need to keep details like responsibilities list, qualifications list, etc. We must use

for section headings. Use
  • for any list of duties/requirements/benefits, and

    for prose. We need to decide what constitutes a list. For responsibilities, they are bullet-like sentences separated by periods. We can turn each sentence into

  • . Similarly for qualifications. We need to avoid duplication. Let's extract content. About The Job paragraph: "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, youll be empowered to learn, ask questions, and bring your ideas to life all while supported by inspiring mentors and collaborative teams." We can keep as prose in

    . About Sanofi paragraph: "Were an R&D-driven, AI-powered biopharma company committed to improving peoples 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 peoples lives." We could include that in About the role or maybe separate? The instruction says use headings for sections like About the role, Responsibilities, etc. So we can put About Sanofi under About the role as part of that section. Main Responsibilities list: Let's extract each bullet: - 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 We'll make each a

  • . Basic Qualifications list: - 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 We'll list each as
  • . Preferred Qualifications list: - 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 We'll list each as
  • . Why Choose Us (Benefits) paragraph: "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." We can keep as prose in

    under Benefits. Compensation: "The salary for this position is $57 hourly. All compensation will be determined commensurate with demonstrated experience." The second sentence is filler "commensurate with demonstrated experience" which is vague; we should not include filler? The instruction: "Do NOT emit a heading followed by filler/placeholder text (e.g. "commensurate with experience", "not specified", "N/A", "varies", "TBD")". So we should not include that sentence if it's just filler. But we can include the first sentence with actual salary. The second sentence is filler; we should omit it. So Pay section will have

    The salary for this position is $57 hourly.

    Schedule: we have "Must be able to relocate to the office location and work 40hrs/week, Monday-Friday, for the full duration of the co-op/internship." That's specific. We'll put in Schedule section as

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

    We also have location and duration earlier: Location: Cambridge, MA Duration: 6 months. That could be included maybe in a short paragraph under About the role or separate? Not a heading. We could include location/duration in About the role paragraph or a separate

    but not as a heading. Since we already have About the role section, we can add that info there. We must not repeat job title as heading. So we will not include a heading for job title. We must not include cookie/navigation/legal/EEO etc. There's none. Now construct HTML. We'll have sections:

    About the role

    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. Sanofi is an R&D-driven, AI-powered biopharma company committed to improving peoples 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 peoples lives. The position is located in Cambridge, MA and has a duration of 6 months.

    Then Responsibilities:

    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.
    Requirements (Basic Qualifications):

    Requirements

    • 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

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