Staff Data Scientist, Statistical Genetics

Key Skills

Java Programming, Python Programming, AWS, Machine learning techniques, Kanban, R Programming, Shell Scripting language, SPARK Programming, Statistical modeling

Job Description

Valo Health is a technology company applying human and machine intelligence to accelerate the creation of life-changing medical treatments. At the core of this vision is Valo’s computational platform: an end-to-end, integrated drug discovery and development engine that is being built from the ground up.

Valo hires the best and gives them first-class training and support. If you’re driven to perform, you’ll fit right in! We approach our work fearlessly, learn quickly, improve constantly, and celebrate our wins. A centerpiece of our culture is our commitment to inclusion across race, gender, age, religion, identity, and experience. Diversity fuels the Valo experience and drives us every day. We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.

About the Role...

Valo?is looking for an experienced?Staff Data Scientist in statistical genetics to create, develop, and validate methods that will change the way patients receive the best treatment. You will work in a multidisciplinary environment comprising data scientists, machine learning scientists, software engineers, and therapeutics & clinical development experts using unique and diverse human-centric datasets to solve challenging problems at the interface of scientific discovery, methodology, technology, and software. We are looking for data scientists who can match scientific breadth with technical excellence.

You will be responsible for designing and prototyping complex methods and workflows used to discover and develop drug treatments using genomics and clinical information. You will also help establish proof points for the validity of the methods created and contribute to the associated analytical work performed on rich proprietary human-centric datasets.

Your first goal will be to help design and build our next generation of state-of-the-art tools in genomics, epidemiology, and statistical genetics.

• Think Big: Innovative and creative, with a vision that transcends what is visible today.
• Earn Trust: High Emotional Quotient (EQ) with strong communication and influencing skills, to create corporate-wide alignment around product vision.
• Dealing with ambiguity: Comfortable with charting new territories and navigating with imperfect information and considering decisions of trade-offs.
• Bias for Action: High energy, low ego, and focus on finding data-driven solutions.

What You’ll Do…

• Understand how scientific questions can be decomposed into analysis, visualization, and machine learning steps that provide answers or results that subject matter experts can turn into hypotheses.
• Design and implement as prototype analysis or machine learning model solutions that use molecular and phenotypical human data.
• Translate analysis and machine learning experiments into prototype software tools that can be used by other data scientists.
• Collaborate with drug discovery and clinical experts to understand how to create impact.
• Work along with other data scientists and software engineers to build methods, tools, and systems that have the right level of generalizability.

What You Bring…

• PhD in quantitative science with demonstrated experience in computational biology, epidemiology, or healthcare
• 7+ years of experience (including relevant graduate work) in role/domain or equivalent?
• Experience in statistical genetics, probabilistic graphical modeling, or causal inference.
• Experience in performing and working with results of genetically anchored studies such as GWAS, (omic)QTL, LoF, PRS, TWAS etc.
• Experience with applied statistics, exploratory data analysis, machine learning, and data visualization, and with a demonstrated business or scientific impact when applying them
• Proficient in Python or R programming, and at least basic knowledge of the other
• Experience working with version control (e.g., git), writing tests (e.g., using pytest or testthat), and code reviews

What You'll Also Bring…

• Experience with working with personally identifiable information (PII) and protected health information (PHI) data, or HIPAA compliance
• Experience developing or maintaining a Python or R package
• Experience working in data science environments on a cloud