Computational Biologist AI Focus

4 weeks ago

Foster City, United States TekWissen ® Full time

Position: Computational Biologist AI Focus

Location: Foster City, CA, 94404

Duration: 7+ Months

Job Type: Contract

Work Type: Remote

Pay Rate: $60.00-65.00/Hourly/W2

Job Description

  • We are seeking a Bioinformatics Data Engineer to spearhead the development of an AI-first ecosystem aimed at transforming the drug discovery landscape.
  • This role demands a proactive individual with a profound understanding of machine learning, AI, and bioinformatics, poised to deliver innovative solutions that accelerate the validation and identification of novel drugs.
  • The ideal candidate will have extensive experience in managing and analysing large-scale biological data, understanding its intricacies, and using this data to train robust machine learning models.

Key Responsibilities:

Architect and Develop AI-Driven Ecosystems:

  • Design and develop an advanced AI-driven data ecosystem to facilitate efficient and accurate drug target discovery.

Implement Scalable Machine Learning Models:

  • Design and implement scalable machine learning models and data pipelines to analyse complex biological datasets, including genomic, transcriptomic, and imaging data.

Cloud Platform Utilization:

  • Utilize modern cloud platforms to deploy machine learning solutions and manage large-scale data storage and computation.

Advanced AI Techniques:

  • Innovate and apply state-of-the-art AI techniques, including deep neural networks, to extract insights from large and diverse datasets.

Collaborate on Drug Discovery Strategies:

  • Work with interdisciplinary teams to translate experimental data into actionable drug discovery strategies.

Continuous Technology Integration:

  • Stay at the forefront of AI, machine learning, and bioinformatics, continuously integrating new technologies and methodologies to enhance data-driven decision-making.

Minimum Qualifications:

  • Educational Background: PhD in Computer Science, Bioinformatics, Statistics, or a related quantitative field.

Machine Learning Expertise:

  • Solid experience with AI and machine learning tools and frameworks.

Programming Proficiency:

  • Proficient in Python and R, with a strong track record of developing and deploying applications in a cloud environment.

Experience with Biological Datasets:

  • Demonstrated ability in handling complex biological datasets, including consortium and atlas-type data, and applying advanced statistical and machine learning methods to solve real-world problems.

Preferred Skills:

  • Data Handling Expertise: Extensive experience in data harmonization, normalization, and preprocessing of large-scale biological datasets to ensure their readiness for machine learning applications.

Understanding of Biological Data Nuances:

  • Deep understanding of the nature, limitations, and pitfalls of biological datasets and the ability to apply this knowledge systematically in data cleaning and management.

Advanced Machine Learning Techniques:

  • Expertise in genetic algorithms, ensemble methods, and unsupervised learning techniques, with a focus on their application to biological data.

Analytical Skills:

  • Excellent analytical skills, with the ability to see beyond the numbers to the strategic implications of the data.

Collaboration and Communication:

  • Strong communication and collaboration skills, with experience working in agile, cross-functional teams.

Passion for Innovation:

  • A strong passion for using AI to drive innovations in health technology and drug discovery.

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