Machine Leaning Software Engineer

Job Overview

In this position, you will contribute to the development of new algorithms for DNA, RNA, and Methylation analysis for cancer diagnosis. Your contributions will be used at leading top-tier academic institutions, cancer centers, and biopharmaceutical companies who are in pursuit of better diagnosis and treatments. You will be directly working with the founder and chief scientist in a small highly talented team to make revolutionary contributions to cancer research and treatment.

Education & Experience

• BS, MS or PhD in Computer Science, Engineering, or related field
• Demonstrated ability to write clean and efficient code.

Key Qualifications

• Demonstrated successes working in collaborative software development as well as working independently.
• Understanding and experience with bioinformatics algorithms is a strong plus.
• Strong programming and debugging skills in languages such as Python, Java or Scala.
• Ability to lo learn new tools and technologies.
• Solid experience with algorithms for signal processing and machine learning (e.g. pattern recognition, voice recognition, image processing, etc.)
• Experience developing machine learning algorithms (e.g. neural networks)

About Us

TESA Research, is a new startup in the field of genomic analysis led by Dr. Soheil Shams who is a pioneer in genomics informatics with a proven track record of successful startup. The company is currently in stealth mode.

Benefits

• Flexible work schedule including open PTO plan
• Significant equity at early stage
• Competitive salary

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