Senior Machine Learning Engineer, Aetion
2-3 days a week in office
Healthcare analytics provider
Open for applications
Healthcare analytics provider
201-500 employees
Open for applications
2-3 days a week in office
201-500 employees
Company mission
To power critical decisions in health care with data science-driven technology.
Role
Who you are
- A BSc/MSc/PhD degree (or equivalent) in mathematics, data science, computer science, statistics, electrical engineering, bioinformatics, biomedical engineering or a related STEM field
- 6+ years of relevant work experience
- Expert in Python programming for full data science lifecycle (ETL, data exploration, cleaning/pre-processing, feature engineering, model training, evaluation, deployment, monitoring). Tech stack: SQL, Scikit-learn, Numpy, Pandas, Pytorch, Transformers
- Experience with LLMs: prompt engineering, RAG, fine-tuning
- Highly analytical, problem-solving mindset with a demonstrated ability to work in cross-functional teams and independently solving ill-defined problems on data from heterogeneous sources
- Interested in partnering with product teams to solve complex business problems with AI/ML
- Strong communication skills, in fluent English, with ability to explain complex concepts to a variety of audiences
- Experience with version control software (e.g., Git)
- Experience working with containerized compute (e.g., Docker, Kubernetes)
- Experience working with cloud platforms (e.g., AWS)
Desirable
- Experience in the healthcare industry or experience working with large, complex medical / healthcare data (e.g., insurance claims, EHR, CDISC)
- Experience with AWS Bedrock and/or other LLM platforms
- Experience with MLOps
- Experience with software engineering best practices
What the job involves
- The Senior Machine Learning Engineer (EU) is expected to lead and contribute to all parts of the software development lifecycle, including architecture, design, development, documentation, testing, and operations
- As a member of a rapidly evolving engineering organization, the Senior Machine Learning Engineer will need to be able to cross functions easily and collaborate with other highly effective individuals, including members of the C-suite
- This is a challenging engineering role that offers a great opportunity to grow with Aetion and make a difference by helping expand the use of Aetion's products
- Use a variety of machine learning methods to solve healthcare-related problems using cloud-based technologies
- Transform innovative AI prototypes into production-ready solutions through rigorous engineering practices
- Work cross functionally with engineers to integrate AI/ML features into our applications
- Work alongside science and product to identify and solve high-value machine learning use-cases
- Maintain and monitor existing AI/ML functionality
- Research topics in machine learning and AI to stay up-to-date on emerging trends in the field
Our take
Aetion provides real-world evidence (RWE), predictive analytics, and healthcare modeling based on real-world data (RWD) to drug companies, payers, life science companies, and regulatory agencies. Its evidence platform is trusted by top global biopharma firms, leading payers, and regulatory bodies to evaluate the safety, effectiveness, and value of medical products.
Since its founding, Aetion has conducted over 9,000 treatment effectiveness analyses and has become integral to the US Food and Drug Administration's modern drug approval and safety processes. With the growing demand for evidence-based solutions in healthcare becoming especially evident in recent years.
Aetion is expanding its platform capabilities, increasing its presence in Europe and the Asia-Pacific region, and strengthening its commercial team. With key partnerships and acquisitions, the company is well-positioned to lead in healthcare development as more health-related data becomes available through devices and wearables.
Freddie
Company Specialist at Welcome to the Jungle
Insights
4% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
May 2021
$110m
SERIES C
Aug 2020
$19m
SERIES B
Total funding: $203.6m
Company benefits
- Array of options for Medical, Dental, and Vision Insurance
- Free membership to OneMedical
- Flexible Spending Accounts for Healthcare and Dependent Care
- Commuter Benefits for Parking and Transit
- 4% 401(k) match on Retirement Savings Plan
- Unlimited paid time off
- 16 weeks of paid parental leave
- One month paid sabbatical after five years at Aetion
- Stipend towards wellness related expenses like gym memberships, fitness classes, and more
- Company activities including happy hours, annual rally, summer social, lunch ‘n learns, and more!
Company HQ
Midtown South, New York, NY
Leadership
Jeremy Rassen
(Co-Founder & CEO)An epidemiologist and computer scientist with nearly 25 years of experience in the science and technology of big data. Prior to Aetion, was Assistant Professor of Medicine at Harvard Medical School, and has worked a number of Silicon Valley jobs with Hewlitt-Packard and Epiphany.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 10 more jobs at Aetion