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Senior Computer Science Bioinformatics Jobs in Michigan

The Senior Data Scientist is responsible for Implementing the design, development, deployment, and ... Computer Science, Physics or similar quantitative field required (a combination of education ...

As a Senior Data Scientist, DCC, you will use your knowledge of data and advanced analytics to ... OR Computer Science or equivalent combination of relevant education and experience * 5+ years of ...

Sr Business Analyst

Detroit, MI · On-site

$91K - $118K/yr

Can reach me at 734-956-4737 *165 Sr. Business Analyst Location : Detroit, MI Duration : Long term ... computer science or information technology Five years of experience writing business or software ...

Senior Applied Scientist

Ann Arbor, MI · Hybrid

$89K - $122K/yr

About the Role As a Senior Applied Scientist, you will lead end-to-end applied research projects ... PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning ...

Bachelor's Degree in Information Systems (IS), Information Technology (IT), Computer Science or ... Sr. Front-End Developer Basic qualifications: Bachelor's Degree in Information Systems (IS ...

The Senior Web Developer's role is to define, develop, test, analyze, and maintain new web ... An Associate's degree in the field of Computer Science, Web Development, Information Systems, or a ...

... senior leadership in tracking strategic goals and outcomes • Communicate effectively with both ... Bachelor's degree in computer science, statistics or a related field • Proficiency in the ...

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Senior Computer Science Bioinformatics information

What are the key skills and qualifications needed to thrive as a Senior Computer Science Bioinformatics professional, and why are they important?

To thrive as a Senior Computer Science Bioinformatics professional, you need advanced knowledge in computational biology, programming (such as Python, R, or Java), and a strong background in molecular biology or genomics, often supported by a graduate degree (MSc or PhD). Proficiency with bioinformatics tools (like BLAST, GATK, or Bioconductor), high-performance computing environments, and version control systems (e.g., Git) is essential. Strong problem-solving abilities, analytical thinking, and effective collaboration skills set top performers apart in this field. These competencies are crucial for managing complex biological datasets, developing innovative algorithms, and driving impactful research in interdisciplinary teams.

How does a Senior Computer Science Bioinformatics professional typically collaborate with multidisciplinary teams?

Senior Computer Science Bioinformatics professionals often work closely with biologists, clinicians, statisticians, and software engineers to analyze complex biological datasets. They are responsible for translating biological questions into computational problems, developing algorithms or pipelines, and ensuring that results are accurate and actionable. Effective communication and collaboration are essential, as they must bridge the gap between technical and scientific teams, lead project discussions, and sometimes mentor junior team members. This collaborative environment fosters innovation and helps drive research projects or clinical applications forward.

What does a Senior Computer Science Bioinformatics professional do?

A Senior Computer Science Bioinformatics professional applies advanced computational methods and software development techniques to analyze biological data, such as DNA, RNA, and protein sequences. They design and implement algorithms, manage large datasets, and collaborate with biologists to interpret results for research or clinical purposes. Their work often supports discoveries in genomics, drug development, and personalized medicine. In addition to technical expertise, they may lead teams, mentor junior staff, and oversee complex projects.
What cities in Michigan are hiring for Senior Computer Science Bioinformatics jobs? Cities in Michigan with the most Senior Computer Science Bioinformatics job openings:

Senior Robotic AI-Perception Engineer - Only W2

Saransh Inc

Warren, MI • On-site

$98K - $134K/yr

Contractor

Posted 25 days ago

Be an early applicant


Job description

Role: Senior Robotic AI-Perception Engineer
Location: Warren, MI (Onsite from Day 1)
Job Type: W2 Contract
 
Main Skills: Senior Robotic AI-Perception Engineer (AI/ML, perception, computer vision, Python, TensorFlow and/or PyTorch)
 
Key Responsibilities:
· Design, develop, and implement perception algorithms for segmentation, scene understanding, object detection and localization, classification, and dynamic tracking.
· Integrate AI and computer vision algorithms with ROS (Robot Operating System) for real-time deployment on autonomous robots (e.g., mobile manipulators).
· Design and maintain cloud-based pipelines for data collection, annotation, preprocessing, model training, and evaluation.
· Collaborate with hardware engineers, software engineers, and domain experts to integrate with mapping, motion planning, and controls.
· Develop offline tools to test and validate perception models in both simulation and real-world environments.
· Stay updated with emerging technologies and best practices in robotic perception; lead and participate in academic and industrial collaborations.
· Generate intellectual property, document results, and publish papers.
 
Required Qualifications:
· Passion for robotics and a strong desire to accelerate the application of robotics with AI.
· Master’s or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field (or Bachelor’s degree with exceptional track record).
· 3+ years of experience developing and deploying AI/ML, perception, and computer vision (e.g., mono and stereo cameras, RGB-D, event camera, LiDAR) on robotic systems.
· Proficiency in Python or C++ with hands-on experience in deep learning frameworks such as TensorFlow and PyTorch.
· Solid understanding of robotics fundamentals, perception and navigation methods (e.g., SLAM, planning), and their typical strengths and shortcomings.
· Consistently seeks opportunities and embraces challenges to drive self-growth and improvement.
 
Preferred Qualifications:
· Ph.D. in Computer Science, Machine Learning, Robotics, Computer Vision, or a related research field.
· Hands-on robotics experience, such as autonomous vehicles (AV), ADAS, or industrial automation systems in manufacturing environments.
· Experience with robotics frameworks such as ROS/ROS2 (e.g., Nav2, MoveIt).
· Understanding of CI/CD pipelines and modern software development practices.