Senior Computational Biologist

at  ProKidney

JOIN US IN DEVELOPING PIONEERING THERAPIES THAT AIM TO TRANSFORM THE TREATMENT OF CKD AND CHANGE PATIENTS’ LIVES. OUR TECHNOLOGY IS DESIGNED TO TREAT DISEASED KIDNEYS USING A PATIENT’S OWN CELLS AND MAY PREVENT OR DELAY DIALYSIS OR TRANSPLANT.

We are seeking a highly skilled and motivated Sr Computational Biologist to join our dynamic team. The ideal candidate will have a strong background in biology, data science, and proficiency in Python programming. This role involves analyzing complex biological data, developing computational models, and collaborating with cross-functional teams to drive our research initiatives.

QUALIFICATIONS:

• Ph.D. and 3+ years of experience, or Master’s degree and 6+ years of experience in Computational Biology, Bioinformatics, Data Science, or a related field.
• Strong proficiency in Python programming and experience with relevant libraries (e.g., NumPy, pandas, SciPy, scikit-learn).
• Experience with data analysis and visualization tools (e.g., matplotlib, plotly, seaborn, Tableau).
• Knowledge of biological databases and resources (e.g., NCBI, Ensembl, UCSC Genome Browser).
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.
• Deep experience with machine learning.

PREFERRED QUALIFICATIONS:

• Experience with cloud computing platforms (e.g., AWS, Sagemaker)
• Familiarity with containerization (e.g., Dask)
• Experience with version control systems (e.g., Git)
  ProKidney is an Equal Opportunity Employer. All applicants are considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We are committed to the principles of equal employment opportunity for all employees with a work environment free of discrimination and harassment

• Analyze genomic, transcriptomic, and proteomic data using advanced computational techniques.
• Develop and apply machine learning algorithms to identify patterns and correlations in biological data
• Collaborate with biologists, data scientists, and other researchers to prioritize research questions and design and execute experiments.
• Use Python for data analysis, visualization, and automation of workflows.
• Integrate and manage various types of biological data, including genomic, transcriptomic, and proteomic data.
• Visualize and communicate complex results to non-technical stakeholders
• Stay current with the latest developments in computational biology and data science.
• Participate in manuscript writing and publication