Senior Drug Discovery AI Engineer
Job Title: Senior Drug Discovery AI Engineer
About the Role
Are you passionate about harnessing the power of AI to revolutionize the world of drug discovery? As a Senior Drug Discovery AI Engineer, you will have the opportunity to apply your deep expertise in artificial intelligence and machine learning to solve some of the most challenging problems in biopharmaceutical research. You’ll play a pivotal role in designing and implementing AI-driven algorithms that can accelerate the discovery of novel drug candidates, optimize clinical trials, and ultimately improve the future of healthcare.
This is a unique opportunity to work at the intersection of cutting-edge AI and life-changing medical advancements. You’ll work closely with world-class scientists, data engineers, and product teams to develop tools that make drug discovery faster, more efficient, and more predictive.
What You’ll Do
Develop AI Models for Drug Discovery: Lead the design, development, and deployment of AI models to analyze vast biological datasets and identify novel drug candidates.
Collaborate with Scientific Teams: Work closely with biologists, chemists, and pharmacologists to integrate AI/ML algorithms into drug discovery workflows, helping translate complex biological problems into actionable insights.
Optimize Drug Development Pipelines: Build AI systems that streamline and optimize every stage of the drug discovery process, from target identification to compound screening and clinical trial simulations.
Analyze Biological Data: Use advanced machine learning techniques to analyze high-dimensional biological data, such as genomic, proteomic, and metabolomic datasets, and derive insights that can guide drug discovery strategies.
Build Predictive Models: Create predictive models that anticipate the efficacy and safety of drug candidates, enabling faster and more accurate decisions in preclinical and clinical development.
Stay Ahead of the Curve: Continuously explore the latest AI techniques and research in drug discovery, and apply them to enhance the capabilities of our systems.
Mentor and Lead: Provide guidance and mentorship to junior AI engineers, fostering a collaborative and growth-oriented environment.
Who You Are
You are an AI and drug discovery expert with:
Advanced AI Expertise:
5+ years of experience applying machine learning and deep learning techniques to drug discovery, bioinformatics, or related fields.
Proven track record of developing and deploying AI models in real-world applications, ideally in pharmaceutical or healthcare contexts.
Biological and Pharmaceutical Knowledge:
Strong understanding of drug discovery processes, including target identification, lead optimization, preclinical, and clinical trials.
Familiarity with biological data types (e.g., genomic, transcriptomic, proteomic) and their relevance in drug discovery.
Deep Learning and Machine Learning Skills:
Expertise in deep learning frameworks like TensorFlow, PyTorch, or Keras, as well as statistical modeling, supervised and unsupervised learning, and reinforcement learning.
Experience with molecular modeling, cheminformatics, and/or computational chemistry techniques is a plus.
Programming Proficiency:
Advanced programming skills in Python, R, or other relevant languages, with experience in AI libraries (e.g., scikit-learn, TensorFlow, PyTorch).
Familiarity with data manipulation tools (e.g., Pandas, NumPy) and visualization libraries (e.g., Matplotlib, Seaborn).
Innovative Problem Solver:
A passion for solving complex biological and pharmacological problems through the application of AI technologies.
Ability to think creatively and strategically about how to leverage AI to overcome obstacles in drug discovery.
Collaborative and Communicative:
Excellent communication and teamwork skills, with the ability to explain complex AI concepts to non-technical stakeholders.
A track record of successful cross-disciplinary collaboration with scientists, engineers, and product teams.
Why Join Us?
Impactful Work: Work on projects that have the potential to change the future of medicine, improving the development of life-saving therapies and treatments.
Innovative Environment: Join a team that is passionate about blending AI with life sciences to make drug discovery more efficient and predictive.
Career Growth: Take your career to the next level with exposure to cutting-edge AI and drug discovery technologies, as well as opportunities for mentorship and leadership.
Competitive Compensation: Enjoy a highly competitive salary, equity opportunities, and a comprehensive benefits package, including healthcare, retirement plans, and more.
Collaborative Culture: Thrive in a collaborative, dynamic environment where ideas are shared, and everyone’s contribution is valued.
Key Skills: