Bioinformatics Scientist, Data Operations

Passionate about making a difference in the world of cancer genomics?

With the advent of genomic sequencing, we can finally decode and process our genetic makeup. We now have more data than ever before, but providers don't have the infrastructure, time, or expertise to make sense of this data. We're on a mission to connect an entire ecosystem to redefine how genomic data is used in clinical settings. 

We are seeking a highly motivated and capable bioinformatics scientist to manage data operations and quality assurance for bioinformatics data delivered to our external clients and research partners. This position requires extensive experience with cancer genomics, precision medicine, bioinformatics pipelines, and pharma/research client delivery work-flows. Top candidates will also have experience deploying bioinformatics code and retrieving relevant data from relational databases.  

Duties and Responsibilities:

• Field questions and requests from internal stakeholders and external customers - including pharmaceutical clients and research partners - regarding the Tempus bioinformatics pipeline.  

• Use SQL, Python, Bash, etc., to retrieve relevant data from various bioinformatics resources, to support data delivery. 

• Engage in cross-functional analysis with various teams within Tempus, including other scientists and clinicians, delivery teams, and operations team management to analyze cancer clinical sequencing data relevant to Partner/Pharma clients and respond to their specific questions.  

• Communicate findings in a clear and logical manner to help stakeholders make scientific decisions based on your data analysis.

• Produce high quality and detailed documentation for all projects.

Required Experience:

• Advanced degree in bioinformatics, computational biology, genomics, or related field.

• Familiarity with relational database querying (MySQL, postgres).

• Familiarity with Python and/or R.

• Familiarity with statistical modeling.

Ideal candidates will possess:

• PhD in Bioinformatics and/or computational biology 

• Pharma work experience

• Thorough understanding of bioinformatics data analysis pipelines.

• Demonstrated programming ability in relevant bioinformatic programming language(s) 

• Work experience in cancer genetics, precision medicine, or molecular biology

• Significant work experience handling next-generation sequencing data

• Self-driven and works well in interdisciplinary teams

• Experience with communicating insights and presenting concepts to a diverse audience

• Strong background in statistical models and analyzing and resolving problematic data

• Familiar with cloud computing a plus