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Remote Biomedical Machine Learning Jobs in Iowa (NOW HIRING)

Senior AI Product Manager

Ames, IA · On-site +1

$123K - $163K/yr

... of machine learning and artificial intelligence capabilities within Workiva's platform. In this ... Reliable internet connection required during remote work periods How You'll Be Rewarded Salary ...

Sr Analyst, Data Solution Analyst

Des Moines, IA · On-site +1

$83K - $105K/yr

Remote internal associates may also be considered. This role requires expertise in Databricks ... and machine learning to produce targeted data solutions. If you have the drive and desire to be ...

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Remote Biomedical Machine Learning information

What are some unique challenges faced when working remotely as a Biomedical Machine Learning professional, and how can they be addressed?

Remote Biomedical Machine Learning professionals often face challenges related to accessing large and sensitive datasets, ensuring compliance with data privacy regulations, and maintaining effective communication with interdisciplinary teams such as clinicians and researchers. To address these, it's important to become familiar with secure data transfer protocols, collaborate closely with IT and compliance officers, and utilize robust project management and communication tools. Regular virtual meetings and clear documentation can help bridge gaps and ensure alignment on project goals.

What are the key skills and qualifications needed to thrive as a Remote Biomedical Machine Learning Specialist, and why are they important?

Thriving in Remote Biomedical Machine Learning requires expertise in machine learning, data analysis, and a strong background in biomedical sciences, often supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, experience with frameworks like TensorFlow or PyTorch, and familiarity with medical data systems are typically necessary. Excellent problem-solving skills, communication abilities, and self-motivation are standout soft skills for remote collaboration and research. These competencies are vital to effectively develop innovative biomedical solutions, ensure data integrity, and drive impactful research in a distributed work environment.

What are remote biomedical machine learning jobs?

Remote biomedical machine learning jobs involve applying machine learning and artificial intelligence techniques to biomedical data, such as medical images, genetic information, or clinical records, while working from a remote location. Professionals in these roles develop algorithms to assist in disease diagnosis, drug discovery, or patient outcome prediction. These jobs typically require strong programming skills, experience with data science tools, and a background in biomedical sciences or related fields. Remote positions offer flexibility and the ability to collaborate with interdisciplinary teams from anywhere in the world.

What is the difference between Remote Biomedical Machine Learning vs Remote Biomedical Data Analyst?

AspectRemote Biomedical Machine LearningRemote Biomedical Data Analyst
Required CredentialsMaster's or PhD in Bioinformatics, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Biology, Data Analysis, or related; proficiency in data visualization and statistical tools
Work EnvironmentCollaborative remote teams, research labs, tech companiesRemote healthcare organizations, research institutions, biotech firms
Employer & Industry UsageTech companies, biotech startups, research institutionsHospitals, healthcare providers, pharmaceutical companies

Remote Biomedical Machine Learning specialists focus on developing algorithms and models to analyze biomedical data, often requiring advanced degrees and programming skills. In contrast, Remote Biomedical Data Analysts interpret and visualize biomedical datasets, typically with a focus on statistical analysis. Both roles are vital in healthcare and biotech industries but differ in technical depth and responsibilities.

What are popular job titles related to Remote Biomedical Machine Learning jobs in Iowa? For Remote Biomedical Machine Learning jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Remote Biomedical Machine Learning jobs in Iowa look for? The top searched job categories for Remote Biomedical Machine Learning jobs in Iowa are:
What cities in Iowa are hiring for Remote Biomedical Machine Learning jobs? Cities in Iowa with the most Remote Biomedical Machine Learning job openings:
Senior AI Product Manager

Senior AI Product Manager

Workiva, Inc.

Ames, IA • On-site, Remote

$123K - $163K/yr

Other

Retirement

Posted 15 days ago


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

1st of 191 rated software companies


Job description

Workiva is seeking a Senior AI Product Manager to lead the execution, scale, and lifecycle management of machine learning and artificial intelligence capabilities within Workiva's platform. In this role, you will bridge the gap between advanced data science and practical customer value, translating complex AI capabilities into tangible business value for our customers, with a strong emphasis on shipping impactful products from conception to widespread adoption.

You will collaborate directly with engineering, data science, and design teams to deliver high-performance enterprise tools that maximize platform intelligence and user efficiency.

What You'll Do

Product Strategy & Vision

  • Deeply understand and articulate a compelling product vision and strategy for AI/ML features, aligning with company objectives and market opportunities

  • Conduct in-depth market research, competitive analysis, and customer discovery to identify unmet needs and opportunities for AI-driven innovation

  • Develop detailed product roadmaps, user stories, and acceptance criteria for AI/ML initiatives, ensuring clear prioritization and measurable outcomes

Product Lifecycle Management & Delivery

  • Lead the end-to-end product lifecycle for AI/ML features, from ideation and validation to development, launch, and post-launch optimization

  • Drive the execution of product initiatives, ensuring timely and high-quality delivery of features that meet customer needs and business goals

  • Collaborate closely with engineering and data science teams to translate complex AI models and algorithms into intuitive, scalable, and performant product experiences

  • Champion a data-driven approach, utilizing metrics and analytics to inform product decisions and measure the success of launched features

Technical Acumen & Collaboration

  • Serve as the bridge between business needs and technical execution, possessing a strong understanding of AI/ML concepts, data pipelines, and scalable system architectures

  • Engage deeply with engineering teams, understanding the technical complexities and trade-offs involved in building enterprise-grade AI solutions

  • Contribute to technical discussions and architectural decisions, ensuring product requirements are technically feasible and align with our platform's underlying infrastructure

Stakeholder Engagement & Go-to-Market

  • Partner with sales, marketing, and customer success teams to develop effective go-to-market strategies, enablement materials, and compelling messaging for new AI features

  • Gather feedback from internal and external stakeholders, acting as the voice of the customer within the product development process

  • Present product strategies, roadmaps, and updates to executive leadership, customers, and other key stakeholders

What You'll Need

Minimum Qualifications

  • 6+ years of product management experience in software development or related field

  • Proven track record of successfully shipping products that have achieved market adoption and business impact

  • Demonstrated experience managing product lifecycles from ideation through launch and iteration in an Agile development environment

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field

Preferred Qualifications

  • 2-3+ years specifically focused on AI/ML products or features within a B2B SaaS or enterprise software environment

  • Practical experience managing products that leverage Natural Language Processing (NLP), Large Language Models (LLMs), or automated agentic workflows

  • Technical literacy regarding data pipelines, dataset curation/labeling requirements, and core model evaluation metrics (e.g., precision, recall, latency)

  • Familiarity with enterprise software design principles, including microservices architectures and API-first product delivery

  • Demonstrated ability to convey technical constraints and algorithmic trade-offs clearly to non-technical business leaders and executive stakeholders

  • Strong analytical and problem-solving abilities, with a data-driven approach to decision-making

  • Ability to thrive in a fast-paced environment and manage multiple priorities effectively

  • Master's degree preferred

  • Certifications in product management or AI/ML preferred

Working Conditions & Travel Requirements

  • Ability to travel up to 20% to meet with customers, stakeholders, and product teams at other Workiva locations

  • Reliable internet connection required during remote work periods

How You'll Be Rewarded

Salary range in the US: $129,000.00 - $261,000.00

A discretionary bonus typically paid annually

Restricted Stock Units granted at time of hire

401(k) match and comprehensive employee benefits package

The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world's most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you'll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you're energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we'd love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com.

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.

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