Bioinformatics Data Scientist at Lifelancer

Are you passionate about leveraging machine learning to drive advancements in crop trait development? Join our team at Lifelancer as a Bioinformatics Data Scientist and make a significant impact in the world of agricultural innovation.

Responsibilities:

You will be at the forefront of:

• Leading the development and implementation of machine learning algorithms and models for analyzing large datasets, uncovering meaningful insights for trait development.
• Collaborating with cross-functional teams to seamlessly integrate machine learning capabilities into our trait discovery workflows and pipelines.
• Solving complex problems by gathering inputs from multidisciplinary stakeholders and making informed decisions in scenarios with multiple viable solutions.
• Staying current with the latest advancements in machine learning and bioinformatics tools, databases, and software packages, and making recommendations for improving our processes.
• Communicating research questions, methodologies, and results effectively to both expert and non-expert stakeholders.
• Providing bioinformatics expertise and offering coaching and mentoring to colleagues when appropriate.

Required Qualifications:

We’re looking for candidates with:

• A PhD (or Masters) in computational biology, bioinformatics, data science, or a related field. Equivalent work experience will also be considered.
• Proficiency in programming languages, with strong expertise in Python and/or R.
• In-depth theoretical knowledge of the latest machine learning methods and applications.
• Strong familiarity with bioinformatics tools, databases, and software packages.
• Expertise in statistical and machine learning packages in Python and/or R (e.g., Scikit-learn, TensorFlow, PyTorch, Caret).
• Excellent problem-solving skills and the ability to work collaboratively in a team environment.
• Outstanding communication skills for conveying research questions and results effectively.

Preferred Qualifications:

It would be great if you have:

• 3+ years of experience in academia or industry using applied statistics and machine learning tools for multiomic dataset analysis.
• Demonstrable contributions to the field through publications or GitHub projects, and a proven track record of technical leadership on R&D projects.
• Knowledge of graph machine learning methods, including graph neural networks.
• Understanding of linear algebra and calculus for data science and machine learning.
• Experience working in an early-stage start-up.
• Experience working in plant science.

Ready to apply? Submit your application on the Lifelancer platform for a quicker response:

About Lifelancer:

Lifelancer is a forward-thinking company dedicated to innovation and scientific excellence. As a Bioinformatics Data Scientist, you'll be an integral part of a dynamic team pushing the boundaries of what's possible in agricultural science.

Join us and be a part of a team that's making a difference!