Statistician and Machine Learning Engineer
Application
WHAT WE’RE UP TO
WE ARE A LEAN, TENACIOUS MACHINE POWERED BY 85 OF THE SHARPEST, MOST PASSIONATE PEOPLE WE COULD FIND.
Simelabs is a product-driven venture-development firm that works with a range of startups and big brands to create compelling, successful, award-winning application. We help people perfect and realise their visions for digital products. While others may just churn out what a client asks for, we strive to truly understand the problems our clients are aiming to solve and will stop at nothing to build solid products that we’re proud of.
Roles and Responsibilities
- Design and implement statistical models (e.g., survival analysis, time series, Bayesian models) to support life sciences and R&D initiatives.
- Drive formulation optimization using machine learning techniques.
- Develop and deploy interactive RShiny dashboards and Python-based analytics tools.
- Analyze and interpret sensory and instrumental data to inform scientific decisions.
- Build and maintain scalable statistical computing platforms in R/Python.
- Conduct real-world evidence (RWE) and database studies.
- Engineer features and interpret ML models to derive actionable insights.
- Collaborate cross-functionally with scientists, engineers, and domain experts to translate research into data solutions.
The Ideal Candidate
- Minimum 3 years of experience in biostatistics, data science, or ML application in life sciences or healthcare.
- Exposure to research or industrial settings involving sensory data or formulation analytics is a plus.
- Experience with statistical consulting or productization of ML/statistical models.
Got what it takes?
Want to join the team? Submit your application—
we respond to most inquiries within three business days.
Perks and Benefits
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12 Paid Company Holidays
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6 Paid Sick Leave
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Group Health Plan insurance Employee, Spouse and dependent
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Performance Bonus
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Flexible time
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Work Life Balance