Dewpoint therapeutics is hiring computational biologists (senior scientist and group leader) and a statistical geneticist for their Boston office.

Dewpoint Therapeutics is the first company founded to apply the emerging discipline of biomolecular condensates to drug discovery. Dewpoint believes that a vast range of conditions have pathways that are regulated by condensates or arise from the dysfunction of condensates — including cancer, neurodegeneration, and metabolic disease. Dewpoint scientists are working in Boston, MA, and Dresden and Berlin, Germany, to translate condensate biology into treatments for the toughest diseases.

Check out other open positions at https://dewpointx.com/careers/

Scientist/Senior Scientist, Statistical Geneticist

We are seeking Statistical Geneticist at the Scientist or Senior Scientist level to help Dewpoint further our vision and be a part of a new cutting edge group to leverage human genetics, genomics, and computation to translate high throughput measurements in condensate biology to actionable knowledge about disease, patients and therapeutics. You will conduct novel analyses such as genome-wide association studies, fine mapping using large biobank data sets, characterization of structural variation, shared heritability, linkage analysis and colocalization between traits. The results of such studies increase confidence in the causal biology of condensate mediated diseases. A key focus of the role will be the identification of appropriate data sets as well as the design and execution of analyses to realize the promise of modern human genetics in increasing the probability of successful drug discovery.

This position will report to the VP, Computational Biology and Human Genetics, and will work collaboratively across disciplines with biologists, chemists, and technologists, leading to therapeutic discoveries.

In this position you’ll be part of an energizing and supportive startup culture engaged in continuous learning, and part of an exceptional international team. This role is based at our site in Boston's Seaport district. Dewpoint offers competitive salary and benefits.

In this role you will…

Design and perform integrative analyses that combine human genetics with phenotypes and molecular data
Identify or prioritize therapeutic hypotheses (targets, tissue/cell types, strata, mechanism) for multiple indications of interest
Work with experimental biologists and analytical scientists to provide input on experimental design for target validation (in vivo and in vitro model systems, cell types)
Work with and help facilitate interaction with external partners in academia and industry
Develop novel methods integrating human genetics and ‘omics and condensate data 
Participate in and oversight of scientific report writing
Present methods, results, and conclusions to a publishable standard
Become a valuable contributor to other initiatives as they arise in our fast paced, start up environment 

To do that you will need…

A Ph.D. in genomics, genetics, bioinformatics, or a related field 
Expertise in statistical genetics, especially experience with GWAS or QTL mapping
Experience with relevant programming/scripting tools (e.g. R, Python, C/C++), Linux/Unix
Experience devising, testing and validating novel methods using analytics
Demonstrated ability to build strong working relationships that facilitate effective collaboration across cross-functional teams
Track record of excellent interpersonal and communication skills, including ability to provide concise summaries of complex data to empower decision making
Ability to communicate effectively in English, the shared language of our multicultural team

It is nice but not essential that you also have…

Experience with “post-GWAS” integrative analyses (e.g. DEPICT, DAPPLE, Mendelian randomization)
Knowledge of functional genomics data, e.g. single-cell RNAseq and epigenetic data (ATACseq, CHIPseq, etc.)
Experience with biobank data and deep phenotyping (ICD9,10)
Experience with cloud environments (e.g. AWS, Google Compute, Azure), cloud platforms (e.g. Databricks)
2+ years experience in the pharmaceutical industry and/or with drug development