At Seer, we are passionate about empowering our customers to expand scientific discoveries and achieve exceptional scientific outcomes. Our team is growing quickly as we develop innovative approaches to solve complex biological questions. And we believe the next frontier in biology is enabled through a clearer and more complete view of the proteome – something that Seer can uniquely deliver. As we build our team, we are looking for collaborative, driven, intellectually curious people who are committed to solving complex challenges. Our culture rewards accountability and cross functional teamwork, because we believe that this enables the kind of breakthrough thinking that will accelerate our mission.
The Role & The Team
We are seeking up an exceptional interdisciplinary candidate to join the Research and Discovery team based in our Redwood City office. The team focuses on developing and integrating proteomics, metabolomics and lipidomics technologies and computational methods to generate and explore complex multi-omics datasets. The driving focus of this team, working at the intersection of nanoparticle, assay, mass spectrometry (MS), and computational omics is to develop new multi-omics technologies, expand our understanding of intricate nano-bio interactions, and provide biomedical insights into high-throughput multi-omics datasets.
The successful candidate will be empowered to devise and utilize bioinformatics to generate insights into complex multi-omics data. The ideal candidate will have a track record of accomplishments in academia or in the life sciences/ pharmaceutical/ biotechnology industry working in interdisciplinary teams. The successful candidate is likely to have a strong background in bioinformatics / computational biology and experience working with biochemists and biologists at the cross-section of cutting-edge MS technologies and computational biology. This role requires in-depth understanding of mass spectrometry data with a focus on metabolomics, lipidomics or bottom-up proteomics, post-translational modifications, and an excellent publication proven record of employing computational tools to gain biological insights.
Responsibilities & Goals
The team is focused on developing and applying novel methods and technologies to investigate complex biological samples. Areas of specific responsibility and attention will include:
Perform multi-omics data analysis and research, including establishment of testable scientific hypotheses. Conduct the analysis of large-scale omics data from projects at different stages of research. Drive multi-omics discovery research designing analysis strategies, delivering data insights, and performing multi-omics data integration. The analysis may include integration of proteomics data with other omes (e.g., lipids, and metabolites) as well as data from additional proteomics assays including PTMs or PPIs or clinical data. Lead and execute multi-omics projects and analyses to support technology development. Apply the statistical methods to elicit the biological interpretation and provide insights into small molecule associations with proteins to enable applications such as target discovery, patient stratification, and mapping of molecular interactions. Provide training and advice to scientists on optimal use of key data and analysis. Publish research in high profile journals. Promote a culture of knowledge sharing across domains to proactively support sharing of best practices among informatics and science teams
Background & Qualifications
The successful candidate must have a demonstrated record of accomplishments in academia and/or the life sciences industry. The ideal candidate will have had significant, publication proven experience in research working in cross-functional teams. Candidates must bring a strong entrepreneurial orientation along with teamwork skills and an absolute commitment to competing with the highest level of integrity.
Key requirements include:
PhD (or equivalent) in computational proteomics, metabolomics, or bioinformatics (related to MS data). Ideally 2+ years of industry / or postdoc research experience. Proficient in R or Python, SQL, and demonstrated ability to write readable, well-documented code. In-depth statistical knowledge and experience with machine learning e.g., Bayesian statistics, (regularized) models, network analysis, gene set enrichment analysis as well as multi-omics data integration. Good understanding of protein biochemistry/ biology to facilitate data interpretation e.g., interactome analysis, immunoproteomics, systems biology, metabolomics. Strong written and oral communication skills, with demonstrated experience in cross-functional and timely communication. Strong and collaborative work ethic; must be a self-starter and persistent in achieving objectives to support Seer's scientific and business goals. Must work well in a small team setting, with the ability to work independently and collaboratively, while meeting scheduled deadlines in a fast-paced environment. Worked in cross-functional teams advancing biological insights exploring large-scale mass spectrometry derived proteomics data sets.
We welcome you to apply today!
Seer is an equal opportunity employer that values diversity and inclusion. All applicants will be considered for employment without attention to race, color, national origin, religion, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.
Seer employees and contractors who regularly come onsite to a Seer office or Client, are required to provide proof of full vaccination against COVID-19. Exceptions to this requirement are employees and/or contractors who require religious or medical exemption as approved through Seer's accommodations process.