Position Summary:
FL69 is seeking a highly motivated and team-oriented candidate for a (Senior) Scientist, Proteomics. This individual will be responsible for the discovery and analysis of non-canonical proteins in large-scale proteomic datasets. The ideal candidate has a strong scientific foundation in proteomics and a demonstrated ability to develop tailored immuno- or biochemical enrichment methods. The candidate will be able to develop semi- or fully automated workflows for large-scale proteomics sample preparation and LC-MS analysis. The candidate will work closely with genomics scientists, computational biologists, and a functional genomics team to identify novel targets involved in disease and bring them to preclinical models.
Key Responsibilities:
- Develop proteomics sample preparation workflows for global or targeted proteomics studies from varied biological samples, such as cultured cells, tissues, and biofluids
- Capable of developing novel immune or biochemical enrichment strategies for target proteins
- Design proteomics experiments and conduct biomarker discovery for therapeutics and diagnosis studies
- Conduct proteomics data analysis using commercial and/or open-source software
- Experiences on automation of proteomics sample preparation and high throughput LC-MS analysis are preferred
- Manage proteomics projects and collaborate with CROs
- Work closely with molecular and cell biologists to collaboratively iterate on experiments
Minimum Qualifications:
- PhD in proteomics, biochemistry, analytical chemistry or related field
- 2+ years of industrial (or post-doc) experiences on method development of large-scale proteomics studies
- In-depth understanding of LC-MS technologies for discovery or targeted proteomics
- Hands-on skills in proteomic sample preparation of varied biological samples
- Demonstrated expertise in conducting DDA, DIA, and PRM based proteomics studies
- Demonstrated experience in maintaining and operating nanoLC and mass spectrometer
- Ability to work as a collaborative team-member
- Excellent oral and written communication and presentation skills
Preferred Qualifications:
- Experience in proteomic analysis of biofluids (plasma, urine, or CSF) is a plus
- Experience in cell-culture and tissue sample handling is a plus
- Familiarity with top-down proteomics is a plus
- Broad understanding of proteomics database search, quantitative analysis, visualization, and interpretation, using commercial and/or open-source software, such as MaxQuant, Skyline, PEAKS, DIA-NN
- Experiences in MHC immune-peptidomics or proteogenomics are preferred
- Experiences in affinity enrichment, IP/co-IP, or proximity labeling based interactome are preferred
- Hands-on experiences with HPLC separation, such as RPLC, IEX, SEC are preferred
- Computational skill such as bioinformatics, statistics, or programing skill by R/Python is a plus