- Perform hands-on exploratory and defined analysis and modeling of high-dimensional longitudinal data to generate fit-for-purpose evidence for decision making for multiple projects.
- Design and implement innovative ML approaches leveraging Valo's proprietary platform (data assets and data science packages) as well as newly published methods.
- Contribute to the design and implementation of robust, automated pipelines leveraging deep learning and classical ML on high dimensional electronic health records and omics data to solve scientific problems.
- Develop well-designed, tested, and documented software packages.
- Contribute to planning, execution, interpretation, and communication of results.
- Collaborate with cross-functional teams and key stakeholders to derive user requirements, maintain alignment, and ensure the relevance and impact of models, analyses, and pipelines.
- Be an active team member in code, design, and analysis review.
- Degree in a quantitative field with the following years of post-degree experience or equivalent oBS: 7+; MS: 5+; PhD: 3+
- Broad experience in ML including random forest, logistic regression, dimensionality reduction, clustering, metrics, model selection, features election, and explainability (3+ years required).
- Demonstrated experience implementing and applying deep learning approaches such as representation learning, sequence models, transformers, and self-supervised learning on high dimensional or multimodal data (2+ years required).
- Proficient in Python (3+ years required) and experience with ML, deep learning, and data science packages (e.g., scikit-learn, pytorch, stats models, scipy, MLlib).
- Experience with collaborative software development using source control). management (e.g., git, unit testing, code review, CI/CD) (2+ years required)
- Experience with MLops methodology such as workflow orchestration (e.g.,Airflow, Prefect), experiment tracking (e.g., MLflow), containerization (e.g.,Docker), and reproducible research (1+ years required).
- Experience with ML on electronic health records (1+ years required).
- Experience with large-scale data analytics engines (e.g., Spark or Dask) and working in cloud environments (e.g., AWS).
- Experience with statistical methods such as hypothesis testing, longitudinal modeling, and time to event analysis.
- Strong work ethic with a bias for execution and an ability to manage multiple priorities, ambiguity, and tight timelines.
- Ability to work effectively in teams or independently.
- Experience with omics data is a plus.
- Familiarity with the drug discovery and development process is a plus.
- New York Base Salary: $192,780 to $203,900
- San Francisco Base Salary: $200,000 to $227,000
-
Machine Learning Team Lead
3 days ago
Bloomberg New York, United StatesBloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency, efficiency, and fairness to markets. The Bloomberg Terminal connects influential communities across the global financial ecosystem via reliable ...
-
Machine Learning/data Scientist
1 week ago
Velocity Tech Inc Hoboken, United StatesMachine Learning Engineer/Data Scientist position for Walmart Connect Measurement Science team. In this unique pos, individual will be at the intersection on ML Engineering and Data Science, and perform tasks to support our advanced measurement products. Strong technical skills c ...
-
Machine Learning Manager
1 week ago
Bloomberg New York, United States Full timeWe are the central AI group for Bloomberg Law, Tax and Government. Our group provides break-through AI solutions within legal, tax and government domains partnering with product managers, software engineers and subject matter experts using Natural language processing (NLP), Infor ...
-
Machine Learning Engineer
1 week ago
FORDER I.T. New York, United StatesWe are currently seeking a talented and innovative Machine Learning Developer to join our clients dynamic team. In this role, you will collaborate closely with our researchers to leverage your expertise in machine learning and software engineering. As a Machine Learning Developer ...
-
Machine Learning Engineer
1 week ago
Harnham New York, United StatesMachine Learning Engineer · New York City – IN PERSON · $175,000 - $200,000 + Equity · Harnham is partnered with a notable high-growth technology company at the forefront of radio spectrum and wireless signal analysis. With a focus on leveraging cutting-edge machine learning te ...
-
Machine Learning Engineer
3 days ago
RightClick New York, United StatesOur client is relied upon by investors globally to oversee their investments by striving for the perfect equilibrium between risk and return. Although they are recognized for their groundbreaking work in systemic investing, they also possess proficiency in fields encompassing fun ...
-
Machine Learning Engineer
4 days ago
Searchability® New York, United StatesMachine Learning Engineer · WE'RE LOOKING FOR A MACHINE LEARNING ENGINEER TO BECOME AN INSTRUMENTAL PART OF OUR NEXT PHASE OF GROWTH · Machine Learning Engineer · Hybrid in New York · $200,000 - $250,000 Depending on experience · To apply please email/ · We are a leading innovat ...
-
Machine Learning Engineer
5 days ago
Quintrix, by Mindlance New York, United StatesJob Title: AI/Machine Learning Engineer · Location: New York, NY (Onsite) · Duration: Fulltime · (AI/Machine Learning Engineer) · Quintrix is on the lookout for developers who are open to upskill to the exciting world of AI and Machine Learning. This opportunity is for our clie ...
-
Machine Learning Engineer
1 week ago
Harnham New York, United StatesMachine Learning Engineer - Manufacturing · Remote, United States · $170,000 - $200,000 base + equity · Our client, a pioneering technology company dedicated to advancing the understanding of radio spectrum and wireless signals, is seeking a Machine Learning Engineer eager to ...
-
Machine Learning Engineer
1 week ago
Ideogram New York, United StatesIdeogram · Ideogram is a new generative AI startup looking for a dedicated Machine Learning Engineer to join the team. Our mission is to help people become more creative. We are developing state-of-the-art AI tools that will make creative expression more accessible, fun, and eff ...
-
Machine Learning Engineer
2 weeks ago
Strativ Group New York, United StatesMachine Learning Engineer · -> $130-150k % equity · Strativ Group are currently partnered with an exciting AI/Fintech startup who are using Generative AI to transform the world of financial intelligence. They are looking for a Machine Learning Engineer to join the team to drive i ...
-
Machine Learning Engineer
1 week ago
Antimetal New York, United StatesOpportunity · Cloud spend is expected to hit roughly $600 billion this year, growing at 22.5% YoY. · Cloud costs are the fastest growing expenditure and primary source of budgetary complexity for most companies, requiring a great deal of ongoing effort and resources. Nearly hal ...
-
Machine Learning Engineer
1 week ago
Bloomberg New York, United StatesOur Team: · Bloomberg Law is changing the legal industry by delivering the most sophisticated research platform on the market with a focus on automation, analytics and real-time answers Our goal is to become an indispensable tool for legal professionals by supporting their day-t ...
-
Machine Learning Developer
1 week ago
Phaxis New York, United StatesMACHINE LEARNING DEVELOPER AT GLOBAL FINTECH FIRM · Base Salary is $250K to $350K (based upon candidate and experience) · Plus Year-end Bonus; Sign-on Bonus (if/where applicable); and Excellent Benefits · Solidly established Global FinTech Firm is looking for an experienced so ...
-
Machine Learning Engineer
4 hours ago
Forhyre New York, United StatesJob Description · Job DescriptionWe are looking for a Machine Learning Engineer to help us create artificial intelligence products. · Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need ...
-
Machine Learning Engineer
1 week ago
Kafene New York, United StatesKafene is a leading point-of-sale financing partner dedicated to empowering flexible ownership solutions for underserved customers nationwide. By enabling our retail partners to offer flexible lease-to-own (LTO) purchase options for prime and nonprime consumers, Kafene helps merc ...
-
Machine Learning Engineer
1 week ago
ArthurAI New York, United StatesAbout Arthur: · At Arthur, we are deeply passionate about building technology to make AI understandable, effective, and fair. Arthur makes machine learning work for enterprises through performance monitoring, explainability, and bias detection. We're built by AI experts and backe ...
-
Machine Learning Engineer
1 week ago
Meta Platforms, Inc. New York, United StatesCompany:META PLATFORMS, INC. (f/k/a Facebook, Inc.)Job Title: Machine Learning EngineerJob Code:REQ Job Location: New York, New YorkJob Type: Full-time, 9am - 6pm, 40 hours a week, Monday - FridaySalary: $221,596/year to $240,240/year + bonus + equity + benefits. Individual pay i ...
-
Head of Machine Learning
4 days ago
Alldus New York, United StatesMy Client is a New York City based startup that is changing the way companies use the cloud. They've built a solution that automates the cost optimization process that's personalized to each client's needs. Their technology has helped companies saved 10's of Millions of dollars a ...
-
Machine Learning Researcher
1 week ago
Morgan Stanley New York, NY, United States Full timeMorgan Stanley is a global financial services firm and a market leader in investment banking, securities, investment management and wealth management services · With offices in more than 43 countries, the people of Morgan Stanley are dedicated to providing our clients the finest ...
Staff Data Scientist, Machine Learning - New York, United States - Valo Health
Description
Valo Health is a technology company that is integrating human-centric data and AI-powered technology to accelerate the creation of life-changing drugs for more patients faster. Valo was created with the belief that the drug discovery and development process can and should be faster and less expensive, with a much higher probability of success. We are using models early to fail less often, executing clinical trials to add valuation to the company, and generating fit-for-purpose data to feed back into Valo's Opal Computational PlatformTM as we reinvent drug discovery and development from the ground up. Disease doesn't wait, so neither can we.
We are a multi-disciplinary team of experts in science, technology, and pharmaceuticals united in our mission to achieve better drugs for patients faster. 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 achieve the widest-ranging impact when we leverage our broad backgrounds and perspectives to accelerate a new frontier in health. Valo seeks to become the catalyst for the pharmaceutical industry and drive the digital transformation of the industry. Are you ready to join us?
As a Staff Data Scientist, Machine Learning, you will be a core member of a team of data scientists and engineers building a powerful computational platform for advancing the research and development of new medicines. As part of the Translational Data Science team, you will help design, develop, and apply machine learning (ML) models, methods, and pipelines for scientific problems involving clinical and biomedical data. Successful candidates will work with a diverse set of data scientists, biological scientists, epidemiologists, and software engineers in ways that cut across traditional industry boundaries.
What You'll Do...
More on Valo
Valo Health, Inc ("Valo") is a technology company built to transform the drug discovery and development process using human-centric data and artificial intelligence-driven computation. As a digitally native company, Valo aims to fully integrate human-centric data across the entire drug development life cycle into a single unified architecture, thereby accelerating the discovery and development of life-changing drugs while simultaneously reducing costs, time, and failure rates. The company's Opal Computational PlatformTM is an integrated set of capabilities designed to transform data into valuable insights that may accelerate discoveries and enable Valo to advance a robust pipeline of programs across cardiovascular metabolic renal, oncology, and neurodegenerative disease. Founded by Flagship Pioneering and headquartered in Boston, MA, Valo also has offices in Lexington, MA, and New York. To learn more, visit