Senior Bioinformatics Data Scientist
5 days ago
Dewpoint Therapeutics is at the forefront of harnessing biomolecular condensate biology to develop innovative treatments for complex diseases. Our team of experts is driven by a passion for discovery and a commitment to making a meaningful impact in the field.
Job DescriptionWe are seeking an exceptional Senior Bioinformatics Data Scientist - Omics Analysis Expert to join our dynamic team. As a key member of our Data Science and Engineering group, you will play a critical role in driving the development and application of multi-omics methods core to our cutting-edge drug discovery platform.
In this role, you will work closely with bench scientists to translate complex research questions into insightful experiments and analyses. You will design and implement new computational approaches to analyze omics data, running and refining bioinformatics workflows and pipelines for the analysis of RNAseq and WGS data. Additionally, you will integrate other datasets, such as pathway/network databases, to derive biological insights and drive results.
You will be responsible for owning delivery of bioinformatics workstreams end-to-end, potentially including mentoring and coaching junior colleagues. Furthermore, you will continually learn and grow as a bioinformatician, identifying emerging methods and tools to implement where appropriate.
This is a unique opportunity to make a significant impact in the field of bioinformatics and contribute to the development of innovative treatments for complex diseases.
Required Skills and Qualifications- PhD in a relevant computational field, such as Bioinformatics, Computational Biology, Genomics, or a related discipline
- 4+ years of industry experience (in pharma or biotech) post-PhD in computational roles, with demonstrated impact
- Proficiency in R and/or Python, with a high level of comfort in data manipulation and analysis
- Hands-on research experience in transcriptomics and genomics, with additional experience in proteomics and ChIP-seq data preferred
- Expertise in statistical methods for omics data analysis, particularly for RNAseq (e.g., DGE, GSEA, GSVA) and WGS data (e.g., GWAS, PheWAS, e-/p-QTL, variant burden testing), including quality control methods
- Experience integrating omics data with pathway/network datasets to draw biologically meaningful insights
We offer a competitive salary range of $180,000 - $220,000 per year, depending on experience, as well as a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and generous paid time off.
What We Offer- A dynamic and collaborative work environment
- The opportunity to work on cutting-edge projects and contribute to the development of innovative treatments for complex diseases
- A comprehensive training program to support your growth and development as a bioinformatician
- Flexible work arrangements, including remote work options
- A generous bonus structure based on individual and team performance
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