Senior Data Scientist
Location: Lexington, Massachusetts, United States; San Francisco, California, United States
Department: Platform Engineering
About Us
Valo Health is a human-centric, AI-enabled biotechnology company working to make new drugs for patients faster. The company’s Opal Computational Platform transforms drug discovery and development through a unique combination of real-world data, AI, human translational models and predictive chemistry.
Our talented team of biologists, chemists and engineers, armed with advanced AI/ML tools, work together to break down traditional R&D silos and accelerate the speed and scale of drug discovery and development.
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 embrace new ways of learning, solve complex problems and welcome diverse perspectives that can help us advance patient-centric innovation.
Valo is headquartered in Lexington, MA, with additional offices in New York, NY and Tel Aviv, Israel. To learn more, visit www.valohealth.com.
About the Role...
At Valo Health, we're building a technology-first, human-centered approach to drug discovery and development. We are seeking a highly motivated and skilled Senior Data Scientist to join our growing team. In this role, you will develop and evaluate novel computational chemistry models and platform data science tooling that will accelerate Valo’s drug discovery mission. You will work closely with data science, machine learning, and medicinal chemistry teams to identify relevant data sources, design modeling experiments, and evaluate model performance to meet the needs of Valo’s drug discovery platform.
This will be a hybrid role for either Lexington, MA or San Francisco, CA.
What You'll Do...
- Develop solutions for advancing real-world preclinical discovery programs, tackling problems such as ADME modeling, toxicity prediction, and generative chemistry.
- Develop and deploy data science tools and workflows to accelerate hit identification, hit-to-lead, and lead optimization efforts.
- Design and develop model dashboards to facilitate model performance tracking, discoverability, and provenance.
- Implement data science best practices in areas such as rigorous statistical validation, data curation and preparation, model life-cycle management.
What You Bring...
- A PhD in Computational Chemistry, Computer Science, Data Science or related technical field, with 1-2 years of experience building tools and developing models with demonstrated business impact.
- Extensive experience with data science languages and frameworks, such as R and pandas; engineering best practices, such as git and CI/CD pipelines; DevOps tooling like Docker, and Kubernetes; orchestration tooling and ETL pipelines such as Prefect or Airflow
- Strong analytical, problem-solving, and communication skills, including experience with Rmarkdown and/or Jupyter Notebooks for communicating results; and the ability to also condense, summarize, and synthesize those results into informative and actionable presentations to less technical audiences.
- Experience with building machine learning models, tools, and workflows for drug discovery.
Please note: At this time we are only able to consider candidates who have permanent U.S. work authorization without the need for immediate or future sponsorship.
Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Valo Health currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Valo Health's good faith estimate as of the date of publication and may be modified in the future.
Please note: At this time, we are only able to consider candidates who currently have permanent US work authorization without the need for immediate or future sponsorship.
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