Industry: Lc Ms
3 Results
Free CV Review
75% of applications never get seen. Beat the bots and get through the filters with a free cv evaluation.
Andover, Massachusetts, United States (on-site)
11 days ago
Cambridge, Massachusetts, United States (hybrid)
30+ days ago
The Broad Institute of MIT & Harvard
Cambridge, Massachusetts, United States (on-site)
30+ days ago
Andover, Massachusetts, United States
11 days ago
Job Type
Job Duration
1-2 Years
$60,900.00 - $100,000.00
Min Experience
Min Education
Required Travel
Salary - Type
Yearly Salary
Job Function
Post-Doctoral Fellowship


Why Patients Need You

At Pfizer we deliver breakthroughs that change patients’ lives. Research and Development is at the heart of fulfilling Pfizer’s purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply cutting edge design and process development capabilities to accelerate and bring the best-in-class medicines to patients around the world.

What You Will Achieve

The Liquid Chromatography–Mass Spectrometry (LCMS) Biomarkers/Biomeasures team plays a vital role in this mission through the quantification of therapeutic targets utilizing state-of-the-art proteomics techniques. We are seeking a highly motivated Postdoctoral Fellow with experience in mass spectrometry-based proteomics, bioinformatics or machine learning interested in continuing their scientific development in a highly dynamic environment here at Pfizer.

The successful candidate will be exposed to the latest mass spectrometry (MS) infrastructure. They will have an opportunity to contribute to an exciting project impacting drug discovery. Come and join our great and diverse team that includes other postdoctoral fellows.

In this role, the Postdoctoral Fellow will generate comprehensive proteome-wide knowledge of protein targets in tissues as proteome maps and will drive forward the development of bioinformatic methods that integrate different proteomics data modalities. This project is expected to have impact on our approach to target feasibility assessment and will lead to strong publications.

How You Will Achieve It

In your new role, you will leverage advanced mass spectrometry to generate data to combine with bioinformatics approaches. You will also work on the MS-based proteomics outputs generated from variety of search engines to create a deeper understanding of protein expression in tissue organ-specific data repositories that would accelerate biomeasure assay development.

You will also establish research collaborations, present at conferences, and lead or contribute to publications.



  • Ph.D. in Proteomics, Biological Sciences, Bioinformatics, Statistics, Analytical Chemistry or a related field with experience in one or more of the following areas as demonstrated through at least one first-author publication: Computational biology, Bioinformatics, Proteomics, Machine Learning.
  • No more than 2 years of post-degree experience.
  • Willingness to make a minimum 2-year commitment.
  • Experience with label-free quantification, data dependent or independent acquisitions (DDA, DIA) methods
  • Previous experience with large scale proteomics datasets
  • Proficiency in programming languages such as R or Python
  • Experience with proteomics search engines and databases
  • Experience with advanced proteomics instruments such as Bruker TimsTOF and/or Thermo Orbitraps 
  • Strong oral and written communication skills and the ability to work independently and as part of a team with a track record of scientific publications in peer-reviewed journals.


  • Deep understanding of biological systems, including pathway regulation, post-translational modification, molecular and cell biology, etc.
  • Familiarity with how machine learning can be applied to MS-derived proteomics data 
  • Comfortable learning new API's and tools as needed. Experience working in cloud-based and mixed computing environment using proteomics data.
  • Worked on Multi-omics Datasets
Job ID: 73503993

Please refer to the company's website or job descriptions to learn more about them.

View Full Profile

Jobs You May Like
Workplace Type
Job Function