Senior Staff Data Scientist Computational Biology
Senior Staff Data Scientist Computational Biology
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Job Description
About Us
Valo Health is a technology company that is integrating humancentric data and AIpowered technology to accelerate the creation of lifechanging for more patients faster. Valo was created with the belief that the drug discovery and development process can and should be faster and less expensive with a much higher probability of success. We are using models early to fail less often executing clinical trials to add valuation to the company and generating fitforpurpose data to feed back into Valos Opal Computational Platform as we reinvent drug discovery and development from the ground up. Disease doesnt wait so neither can we.
We are a multidisciplinary team of experts in science technology and pharmaceuticals united in our mission to achieve better for patients faster. Valo is committed to hiring diverse talent prioritizing growth and development fostering an inclusive environment and creating opportunities to bring together a group of different experiences backgrounds and voices to work together. We achieve the widestranging impact when we leverage our broad backgrounds and perspectives to accelerate a new frontier in health. Valo seeks to become the catalyst for the pharmaceutical industry and drive the digital transformation of the industry. Are you ready to join us
About the role
We are looking for a computational biology (or related fields) Senior Staff Data Scientist to help represent the translational data science team in interdisciplinary target validation efforts. A successful candidate would be adept in using and developing reusable computational approaches aimed at deriving insights from drug discovery data sources (e.g. omics genetics pathways EHR RWD etc. and be able to communicate and represent translational data science in integrated drug development teams.
What Youll do ...
- Represent advise on and lead computational biology and data science efforts for several crossfunctional drug target validation programs.
- Individually contribute code and collaborate with other data scientists using R or Python.
- Consolidate results from a diverse array of data spanning real world data genetic data and multiomics data aimed at informing target validation efforts.
- Collaborate with internal and external worldclass drug discovery experts to help ensure the relevance and impact of the insights generated by you and your teammates.
- Be comfortable with scientific uncertainty and embrace curiosity and creative solutions. Many of the challenges were trying to address dont have simple solutions or clear processes to arrive at answers.
- Use your technical knowledge and intuition to articulate and help scope the work needed.
What You Bring...
- PhD degree with 58 year of relevant experience or MS with 8 years of relevant experience in computational biology systems biology molecular biology & computer science or related fields.
- At least three years of pharma or biotech industry experience.
- Proficient in Python or R and comfortable with using Jupyter notebooks or Rstudio on cloudbased Linux systems.
- Ability to scope and design work proposals for computational biology approaches that address specific research questions.
- Strong communication and presentation skills to represent translational data science in multidisciplinary crossfunctional teams.
- Experience with integrating evidence from diverse data sources (at least three of below are expected) including:
- Public resources including literature knowledge bases pathways etc.
- Omics data including RNAseq Proteomics metabolomics etc.
- Genetic data including GWAS PheWAS Mendelian randomization polygenic risk scores etc.
- EMR EHR or RWD
- Large consortia efforts or biobanks like the UK biobank
- Experience with two or more datarelevant computational biology or statistical approaches including differential gene expression pathway enrichment clustering/subgroup identification form RWD data genetic association causal inference transcriptomics/proteomics/metabolomics analysis epidemiology studies from RWD etc.
- Experience in writing / developing code using version control (e.g. git)
- Curiosity and ability to continuously learn so you can better understand the perspectives of colleagues from different scientific disciplines
You may also Bring...
- Demonstrated ability to supervise the work of junior data scientists.
- Experience with cardiovascular or metabolic diseases.
- Experience in project management.
- Experience with JIRA and confluence.
- Experience working in crossfunctional drug development teams.
More on Valo
Valo Health LLC (Valo) is a technology company built to transform the drug discovery and development process using humancentric data and artificial intelligencedriven computation. As a digitally native company Valo aims to fully integrate humancentric data across the entire drug development life cycle into a single unified architecture thereby accelerating the discovery and development of lifechanging while simultaneously reducing costs time and failure rates. The companys Opal Computational Platform is an integrated set of capabilities designed to transform data into valuable insights that may accelerate discoveries and enable Valo to advance a robust pipeline of programs across cardiovascular metabolic renal oncology and neurodegenerative diseases. Founded by Flagship Pioneering and headquartered in Lexington MA Valo also has offices in New York NY. To learn more visit www.valohealth.
Required Experience:
Staff IC
Employment Type
Full-Time
