Valo Health

Valo is a technology company focused on accelerating drug discovery and development through the integration of human-centric data and AI-powered computation. Their Opal Computational Platform™ combines machine learning, tissue biology, and patient data to create powerful capabilities for drug discovery. The company has assembled a multidisciplinary team of software engineers, data scientists, biologists, and medicinal chemists to achieve its mission. Valo aims to transform data into valuable insights to speed up discoveries and advance its pipeline of programs, initially focusing on cardiovascular, metabolic, renal, oncology, and neurodegenerative diseases.

AIBiotechnologyComputational PlatformDrug DiscoveryHuman-Centric DataLife SciencesMachine LearningPrecision Medicinevalohealth.com

Valo Health

AIBiotechnologyComputational PlatformDrug DiscoveryHuman-Centric DataLife SciencesMachine LearningPrecision Medicinevalohealth.com

HQLexington, US

Team Size205

Open Jobs17

Total Funding$460M

Latest Fundraise3 years ago

TL;DR

Founded: 2019

Headquarters / Region: Boston / Lexington, MA area

Core focus: AI-driven drug discovery using human-centric data (Opal Computational Platform)

Therapeutic areas: Cardiometabolic/renal, oncology, neurodegenerative diseases

Reported total funding: USD 460,000,000 (public profile figure)

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Company Overview

Problem Domain

Drug discovery and development inefficiencies; translating human data into actionable therapeutic candidates.

Founded

2019

Industry

Biotechnology Research

Tech Stack

Cloudflare

Google Analytics

Google Tag Manager

Funding Track Record

Series B

110000000

Announced $110M to close Series B

PIPE commit (SPAC combination)- 2021-06-09

168500000

Fully committed PIPE associated with announced combination with Khosla Ventures Acquisition Co.

Founders

What we do

Join the Team

Principal Data Scientist in Epidemiology and Patient Data Products

On-SiteLexington, MA, US

On-Site • Lexington, MA, US

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 As a Principal Epidemiologist and Data Scientist in Epidemiology and Patient Data Products, you will lead groundbreaking research that is revolutionizing drug discovery . Our innovative platform leverages advanced computational techniques to accelerate the development of new medicines. You will have the opportunity to lead research initiatives and collaborate with a diverse team of experts (data scientists, epidemiologists, and clinicians) to address challenging problems that can have a significant impact on global health.

What You'll Do...

As a senior member of our neurodegenerative disease drug discovery team, you will lead complex research projects from conceptualization through execution, that incorporate multiple workstreams stemming from real-world data studies (e.g., electronic medical records) for projects in drug discovery and development.

What You Bring...

PhD in epidemiology or biostatistics with 7+ years of work-related experience (or MPH/MS with 10+ years) leading epidemiological, statistical, and/or machine learning projects in real-world patient data.

You May Also Bring...

Experience with neurodegenerative disease research
Familiarity with or exposure to traditional drug discovery and development processes and approaches is a plus
Familiarity with integrated clinico–omics datasets (including sequencing, genomics, proteomics, etc.) is a plus
Passion for mentoring scientists and staff, including 2+ years managing direct reports

Remote Salary Range

$180,000—$230,000 USD

CA Salary Range

$210,000—$270,000 USD

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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Provide mentorship and oversee technical members of our Epidemiology and Patient Data team. In addition, Principal roles consult on partner teams, providing technical expertise across translational data science (e.g., knowledge graph, statistical genetics, computational biology).

Be a project leader, engage external partners and stakeholders to translate research questions into observational study designs, implement project plans that prioritize high impact workstreams for clients, and leverage your medical domain knowledge to create deliverables that showcase patient-centric insights that resonate with diverse audiences.

Collaborate with data science and program management functions to define project scope, establish timelines, and allocate resources. Leverage agile software tools (e.g., Jira boards) to manage complex projects and timelines across multiple workstreams.

Be comfortable with scientific uncertainty and embrace curiosity and creative solutions. Many of the challenges we’re trying to address don’t have known solutions or clear processes to arrive at answers.

Work with a diverse array of global patient data spanning electronic medical records, sequencing, multi-omics data, and other data modalities using R and Python in cloud environments.

Be an active team member, championing and adopting shared analytic and coding standards.

Robust statistical analytic skills, applicable to observation study designs, including cohort/longitudinal studies of electronic health records/real world data.

Advanced knowledge in biostatistics approaches, including inferential and predictive modeling, and comfortable incorporating causal inference techniques with machine learning algorithms in real world data.

Familiarity with applying LLMs to real world data for data curation and extracting insights.

Clear communication and confidence in your ability to use agile software tools (e.g., Jira boards) to implement project plans and manage timelines (e.g., Gantt charts) used by multiple teams.

Experience leading complex research projects with real business impacts: from co-creating research programs with clients to delivering high-impact insights to leadership.

Must have experience conducting data manipulation and statistical analysis in Python and/or R programming languages.

Experience being an externally facing project leader, leading meetings, and soliciting input from clients, and keeping relevant stakeholders in the loop to ensure alignment throughout project lifecycle.

Comfortable working in ambiguous problem spaces; experience working in a start-up or agile work environment as part of cross-functional project teams.