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- Tasks: Lead innovative machine learning projects in drug discovery and collaborate with top researchers.
- Company: Dynamic research-driven company at the forefront of molecular science.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by driving cutting-edge scientific programmes.
- Qualifications: Experience in project management and a passion for machine learning and drug discovery.
- Other info: Join a collaborative team with exciting career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
CK Group are collaborating with a computational research-led organisation in recruiting for a Program Manager (Machine Learning and Drug Discovery) to join its New York–based team. An exciting opportunity to work at the intersection of machine learning, biophysics, and drug discovery, helping to drive complex, cutting-edge scientific programmes from concept through execution. A permanent position that follows a hybrid work model, with a balance of on-site collaboration and remote working flexibility.
The Company:
New York based research-driven company that applies advanced computational and machine learning approaches to problems in molecular science and drug discovery.
The Role:
Partner closely with machine learning researchers, engineers, and scientific leaders to coordinate the day-to-day delivery of advanced ML-driven research initiatives. You will also manage relationships with external vendors and third-party partners, and support strategic planning across multiple high-visibility projects. Work closely with research leads and senior management on strategic initiatives, infrastructure planning, and risk mitigation across a growing portfolio of projects.
Key focus areas:
- Development of generative models to identify novel molecules for drug discovery targets
- Predicting PK and ADME properties of small molecules
- Advancing molecular simulation methodologies
- Supporting 3D molecular structure prediction initiatives
Technical Program Manager - Machine Learning - New York employer: CK Group
Contact Detail:
CK Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Program Manager - Machine Learning - New York
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in machine learning and drug discovery. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn – you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with machine learning projects. When you get the chance to chat with potential employers, share specific examples of how you've driven complex programmes from concept to execution.
✨Tip Number 3
Be proactive! If you see a role that excites you, apply through our website. Don’t wait for the perfect moment; express your interest early and often. Follow up with a friendly email to show your enthusiasm and keep your name fresh in their minds.
✨Tip Number 4
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss how you can manage relationships with external vendors and support strategic planning. Practice common interview questions and think about how your background aligns with the company’s goals in drug discovery.
We think you need these skills to ace Technical Program Manager - Machine Learning - New York
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Technical Program Manager role. Highlight your experience in machine learning and drug discovery, and don’t forget to showcase any relevant projects you've managed.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the intersection of machine learning and drug discovery. Share specific examples of how you've driven complex projects in the past.
Showcase Your Collaboration Skills: Since this role involves working closely with researchers and engineers, emphasise your teamwork skills. Mention any experiences where you’ve successfully collaborated on high-visibility projects or managed relationships with external partners.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at CK Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest machine learning techniques and drug discovery processes. Brush up on generative models and molecular simulations, as these are key focus areas for the role. Being able to discuss specific projects or technologies will show your passion and expertise.
✨Showcase Your Project Management Skills
Prepare examples of how you've successfully managed complex projects in the past. Highlight your experience in coordinating with cross-functional teams and external partners. Use the STAR method (Situation, Task, Action, Result) to structure your responses and demonstrate your impact.
✨Ask Insightful Questions
Come prepared with thoughtful questions about the company’s current projects and future goals. This not only shows your interest but also helps you gauge if the company aligns with your career aspirations. Ask about their approach to risk mitigation and strategic planning in ML-driven research.
✨Emphasise Collaboration and Flexibility
Since the role involves hybrid work and collaboration, be ready to discuss how you thrive in both remote and on-site environments. Share examples of how you’ve effectively communicated and collaborated with teams in different settings, showcasing your adaptability and teamwork skills.
