Staff Data Scientist - Systems Biology

6 days ago

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Valo Health

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Valo Health is a company dedicated to revolutionizing the discovery and development of life-changing medicines using high-quality patient data and AI-driven technology. Through its Opal Computational Platform, Valo Health integrates machine learning, tissue biology, and patient data to enhance drug discovery and development processes. The company brings together a diverse team of software engineers, data scientists, biologists, and chemists to harness advanced technology and patient data for innovative healthcare solutions. Valo Health is committed to achieving better health outcomes by accelerating the creation of medicines on behalf of patients worldwide.

51 - 200 employees

🧬 Biotechnology

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

💰 Series C on 2022-10

📋 Description

• You will be part of a cross-functional data science team applying systems biology approaches to lead target discovery and prioritization, closely collaborating with discovery scientists, data scientists, and engineers to maximize the generation of insights and hypotheses from our internal datasets. • You will be on a team responsible for delivering strong target candidates and accelerating drug discovery programs. • Successful candidates will work synergistically to close the gap between data scientists and biology domain experts, both within a tightly integrated cross-functional team, and across organizational boundaries. • Contribute to the identification of novel pathways and targets relevant to disease mechanism using systems and network biology. • Develop analysis proposals and perform system-level exploratory analysis on our internal multi-OMICS and RWE datasets, pointing to new insights/hypotheses relevant to the questions of interest. • Engage with discovery and data science stakeholders to support new hypotheses and/or research questions. • Perform multi-omics and pathway analyses to advance target identification, and validation. • Strong communication skills across different functions. • Strong data visualization skills. • Be an agile and pro-active team member, providing regular updates of your work and looking for new scientific opportunities within the team.

🎯 Requirements

• BS+4, MS or PhD + 3 years experience in bioinformatics, systems biology, computational sciences, computational biology, or related fields (e.g., genetics, molecular biology) in collaborative settings to unravel complex biological questions and communicate domain knowledge to non-computational stakeholders. • Experience in systems-level multi-omics approaches and data using systems biology methods & network analyses towards understanding biological functions and holistic disease processes. • Experience with high-dimensional omics data and their challenges. • Strong analytical, problem-solving, and communication skills, including facility with Rmarkdown and/or Jupyter Notebooks for communicating reproducible results. • Ability to also condense, summarize, and synthesize results into informative and actionable presentations to scientific audiences as demonstrated by original peer-reviewed publications in respected journals, oral presentations at scientific meetings. • Experience in R and/or Python, including familiarity with code, data, and model versioning. • Domain knowledge in cardiovascular disease and its co-morbidities (e.g., obesity, diabetes, and inflammation) preferred.