Machine Learning Data Scientist
Apply NowCompany: Collins Consulting
Location: Chicago, IL 60629
Description:
We seek a highly talented and passionate AI/ML Scientist to join our Product-focused AI team. This individual will be critical in developing and implementing novel machine learning algorithms to enhance our medical device offerings and explore new opportunities in Software as a Medical Device (SaMD). This individual contributor (IC) role focused on deep technical expertise and hands-on algorithm development, working closely with other scientists and engineers within the team. The ideal candidate will have a strong theoretical foundation in machine learning and a proven ability to translate research into practical applications.
Key Responsibilities:
Design, develop, and implement advanced machine learning algorithms for medical device applications, including but not limited to: image and signal processing, predictive modeling , anomaly detection, and natural language processing.
Research state-of-the-art AI/ML techniques and evaluate their applicability to our medical device challenges.
Develop and maintain clean, well-documented, and testable code.
Collaborate with other AI scientists and engineers to share knowledge and best practices.
Work with cross-functional teams (e.g., R&D, product development, regulatory affairs) to understand project requirements and integrate AI solutions.
Proactively identify opportunities to leverage AI to improve existing medical devices and explore new SaMD applications.
Stay up-to-date with the latest advancements in AI, machine learning, and relevant medical device regulations (e.g., FDA guidelines, HIPAA).
Contribute to the development of proof-of-concept AI solutions for medical devices.
Work within an Agile/Scrum framework to manage development iterations and sprints.
Present research findings and project updates to technical and non-technical audiences.
Requirements:
PhD in Computer Science, Electrical Engineering, Data Science, Statistics, Biomedical Engineering, or a related field with a strong focus on machine learning; OR
Master's degree in one of the above fields with 1-2 years of relevant industry experience developing and deploying machine learning models.
Strong theoretical understanding of machine learning algorithms and principles (e.g., supervised/unsupervised, deep learning, reinforcement learning, statistical modeling).
Proficiency in programming languages commonly used in AI/ML development (e.g., Python).
Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
Ability to work independently and as part of a team.
Awareness of medical device regulations and standards.
Must be based in Chicago, IL, and work in an office setting.
Travel approximately 10% of the time.
Highly Desired:
Prior experience with Software as a Medical Device (SaMD) development.
Publications in top-tier AI/ML conferences or journals.
Experience with cloud computing platforms (e.g., AWS, Azure, GCP).
Experience with medical imaging or signal processing.
Prior experience working in the life sciences industry (e.g., medical devices, pharmaceuticals) or a technology company specializing in software/ML algorithm development.
Demonstrated experience in coordinating and managing technical projects.
Familiarity with Scrum and Agile development methodologies.
Years Experience: 4+ Years
Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to the client
Utilize technologies to collect, clean, analyze, predict, and effectively communicate information
Prepare both structured and unstructured data for analysis
Able to examine data sets and determine the best end-to-end analysis plan to address key business questions and create value for the client
Conduct advanced statistical analysis to determine trends and significant data relationships
Develop machine learning models to apply test data algorithms to future data
Validate models/analytical techniques, and develop algorithms to execute analytical functions
Works with stakeholders to define business questions, requirements, timelines, objectives, and success criteria to address need.
Proactively identifies opportunities for significant operational, process or system level product improvements.
Communicate model logic and restrictions
Work closely with the business to understand the domain and iteratively refine analyses
Transform analytical results into actionable recommendations for business partners using deep industry knowledge Bachelors Degree ( 16 years)Computer Science, Data Analytics or similar discipline including Mathematics, Statistics, Physics, or Engineering is preferred
Advanced degree in Life or Physical Science, Bioengineering, Biomedical Engineering or closely related discipline is preferred"
The benefits that you are eligible for with Collins Consulting, Inc:
Key Responsibilities:
Design, develop, and implement advanced machine learning algorithms for medical device applications, including but not limited to: image and signal processing, predictive modeling , anomaly detection, and natural language processing.
Research state-of-the-art AI/ML techniques and evaluate their applicability to our medical device challenges.
Develop and maintain clean, well-documented, and testable code.
Collaborate with other AI scientists and engineers to share knowledge and best practices.
Work with cross-functional teams (e.g., R&D, product development, regulatory affairs) to understand project requirements and integrate AI solutions.
Proactively identify opportunities to leverage AI to improve existing medical devices and explore new SaMD applications.
Stay up-to-date with the latest advancements in AI, machine learning, and relevant medical device regulations (e.g., FDA guidelines, HIPAA).
Contribute to the development of proof-of-concept AI solutions for medical devices.
Work within an Agile/Scrum framework to manage development iterations and sprints.
Present research findings and project updates to technical and non-technical audiences.
Requirements:
PhD in Computer Science, Electrical Engineering, Data Science, Statistics, Biomedical Engineering, or a related field with a strong focus on machine learning; OR
Master's degree in one of the above fields with 1-2 years of relevant industry experience developing and deploying machine learning models.
Strong theoretical understanding of machine learning algorithms and principles (e.g., supervised/unsupervised, deep learning, reinforcement learning, statistical modeling).
Proficiency in programming languages commonly used in AI/ML development (e.g., Python).
Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
Ability to work independently and as part of a team.
Awareness of medical device regulations and standards.
Must be based in Chicago, IL, and work in an office setting.
Travel approximately 10% of the time.
Highly Desired:
Prior experience with Software as a Medical Device (SaMD) development.
Publications in top-tier AI/ML conferences or journals.
Experience with cloud computing platforms (e.g., AWS, Azure, GCP).
Experience with medical imaging or signal processing.
Prior experience working in the life sciences industry (e.g., medical devices, pharmaceuticals) or a technology company specializing in software/ML algorithm development.
Demonstrated experience in coordinating and managing technical projects.
Familiarity with Scrum and Agile development methodologies.
Years Experience: 4+ Years
Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to the client
Utilize technologies to collect, clean, analyze, predict, and effectively communicate information
Prepare both structured and unstructured data for analysis
Able to examine data sets and determine the best end-to-end analysis plan to address key business questions and create value for the client
Conduct advanced statistical analysis to determine trends and significant data relationships
Develop machine learning models to apply test data algorithms to future data
Validate models/analytical techniques, and develop algorithms to execute analytical functions
Works with stakeholders to define business questions, requirements, timelines, objectives, and success criteria to address need.
Proactively identifies opportunities for significant operational, process or system level product improvements.
Communicate model logic and restrictions
Work closely with the business to understand the domain and iteratively refine analyses
Transform analytical results into actionable recommendations for business partners using deep industry knowledge Bachelors Degree ( 16 years)Computer Science, Data Analytics or similar discipline including Mathematics, Statistics, Physics, or Engineering is preferred
Advanced degree in Life or Physical Science, Bioengineering, Biomedical Engineering or closely related discipline is preferred"
The benefits that you are eligible for with Collins Consulting, Inc:
- 401(k)
- Medical, Dental and Vision Insurance
- Term Life Insurance
- Accidental Death and Dismemberment
- Long Term Disability