Valo Health

Data Scientist, RWD

Remote

Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Biotechnology, Pharmaceuticals, HealthcareIndustries

Requirements

Candidates should possess a Bachelor's degree with at least 3 years of patient data experience or a Master's degree with at least 1 year of experience in a quantitative field such as public health, health economics, biostatistics, computer science, statistics, computational biology, or biomedical engineering. For a Senior Data Scientist role, a Bachelor's degree with 5+ years of experience or a Master's/PhD with 3+ years of experience is required. A minimum of 1 year of experience querying and curating structured and unstructured electronic health record data is necessary, with 3 years required for the Senior DS role. Demonstrated ability to execute robust analytical strategies using healthcare databases, including electronic health records, administrative claims databases, and/or patient registries, is essential. Proficiency in data manipulation, analysis, and visualization using Python is a must.

Responsibilities

The Data Scientist will work closely with a cross-functional data science team to optimize patient data utilization and ensure high-quality datasets for research and development. Responsibilities include supporting data harmonization standards, curation strategy, and mappings of clinical concepts from electronic medical record and biobank registry databases. They will break down business and research requirements into actionable steps, lead data analysis and feasibility studies, and contribute to deliverables for stakeholders. The role also involves supporting the development and maintenance of user-driven tools for data process generalization and automation in real-world data studies and machine learning projects. Candidates will perform high-quality, reproducible analysis in a cloud environment using R or Python and actively participate in team activities like code reviews and sharing updates.

Skills

Real-World Data
Electronic Medical Records
Data Science
Machine Learning
Clinical Informatics
Epidemiology
Data Engineering
Python
SQL
Patient Data Tools

Valo Health

Drug discovery using machine learning technology

About Valo Health

Valo Health focuses on drug discovery and development in the biopharmaceutical sector, utilizing advanced technology to create new drugs and therapies. The company employs its proprietary Opal Computational platform, which integrates machine learning, tissue biology, and patient data to streamline the drug discovery process. This platform allows Valo Health to identify potential drug candidates more quickly and accurately than traditional methods. Valo Health differentiates itself from competitors by combining technology with life sciences, fostering a collaborative culture that addresses significant challenges in drug development. The company's goal is to improve health outcomes for patients worldwide by delivering effective solutions through partnerships with pharmaceutical companies and research institutions.

Boston, MassachusettsHeadquarters
2019Year Founded
$474.2MTotal Funding
LATE_VCCompany Stage
AI & Machine Learning, BiotechnologyIndustries
51-200Employees

Risks

Leadership changes may impact Valo's strategic direction and decision-making.
Heavy reliance on Novo Nordisk partnership poses financial risks if expectations aren't met.
Intensifying competition in AI-driven drug discovery could challenge Valo's market position.

Differentiation

Valo Health integrates AI and human-centric data for drug discovery and development.
The Opal Computational Platform offers an end-to-end solution for drug discovery.
Valo's approach combines machine learning, tissue biology, and patient data for precision therapeutics.

Upsides

Valo's partnership with Novo Nordisk could yield up to $4.6 billion in milestone payments.
The growing market for AI-driven drug discovery platforms supports Valo's business model.
Strategic partnerships with pharmaceutical companies enhance Valo's revenue and market reach.

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