Director, Engineering

Work set-up: 
Full Remote
Contract: 
Salary: 
185 - 185K yearly
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Master's or Ph.D. in Computer Science, Engineering, Data Science, or related field., Over 10 years of experience in software engineering and/or data science, with at least 5 years in AI/ML leadership roles., Proven track record delivering AI solutions in regulated industries like healthcare or life sciences., Strong proficiency in Python, ML frameworks (TensorFlow, PyTorch), and MLOps tools..

Key responsibilities:

  • Lead the development and execution of the AI/ML roadmap aligned with company goals.
  • Oversee the design, development, and deployment of AI-driven solutions within clinical research platforms.
  • Build and mentor a team of AI/ML engineers, data scientists, and software developers.
  • Ensure AI solutions are compliant, interpretable, and add value to clinical trial processes.

Sitero logo
Sitero Research SME https://www.sitero.com
51 - 200 Employees
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Job description

Sitero is an emerging leader in Clinical services and software solutions for the life sciences industry. We have experience and expertise in a diverse range of therapeutic areas and focus on innovative, technologyenabled solutions that allow our clients to focus on their core strengths. For early phase studies through Phase III clinical trials, our experienced team delivers hightouch services and technology to ensure the safety of all stakeholders across the clinical research community with an emphasis on ethics, compliance, and innovation. \\


Job Title: Director, AI Engineering

Location: USA Remote

Function: AI Development

We are seeking a strategic and technically exceptional Director of AI Engineering to lead the design, development, and deployment of AIdriven solutions across our clinical research, eClinical, and eCompliance platforms. As a key member of our technology leadership team, you will drive innovation in applying artificial intelligence and machine learning to improve trial efficiency, regulatory compliance, and clinical data integrity within a GxPregulated environment.

This role is ideal for a collaborative leader with deep expertise in AIML, strong engineering management skills, and a passion for transforming the clinical research ecosystem through responsible, secure, and scalable technology.


ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Develop and own the AIML roadmap aligned with company goals.
      • Lead the strategic direction for AI initiatives supporting decentralized trials, eSource data, eCOA, EDC, and regulatory systems.
          • Identify opportunities for automation, prediction, and decision support within clinical trial workflows and quality systems.
              • Build, mentor, and lead a highperforming team of AIML engineers, data scientists, and software developers.
                  • Define and enforce best practices in AI model development, MLOps, and software engineering.
                      • Collaborate with crossfunctional leaders to deliver reliable, interpretable, and compliant solutions.
                          • Oversee the endtoend development lifecycle of AIpowered features within our eClinical and eCompliance platforms.
                              • Partner with Product and UX teams to ensure AI tools are intuitive, actionable, and add measurable value to trial sponsors and sites.
                                  • Ensure timely delivery and deployment of scalable AI components within cloudnative Azure environments.
                                      • Develop AI governance frameworks and ensure alignment with industry regulations (ICH E6(R3), 21 CFR Part 11, GDPR, HIPAA).
                                          • Drive responsible AI practices with explainable, auditable, and biasmitigated models.
                                              • Collaborate with Quality Assurance and Compliance teams to validate AI systems used in clinical and regulatory contexts.
                                                  • Stay uptodate with the latest developments in natural language processing (NLP), computer vision, and generative AI relevant to the life sciences domain.
                                                      • Foster partnerships with external research institutions, technology vendors, and regulatory bodies to inform and validate AI innovations.

                                                        • EDUCATION AND EXPERIENCE REQUIRED:

                                                          • Master’s or Ph.D. in Computer Science, Engineering, Data Science, or a related field.
                                                              • 10+ years of experience in software engineering andor data science, with at least 5 years in AIML leadership roles.
                                                                  • Proven experience delivering AI solutions within highly regulated industries (life sciences, healthcare, financial services, etc.).
                                                                      • Strong technical proficiency in Python, ML frameworks (TensorFlow, PyTorch, Scikitlearn), and MLOps tools (MLflow, Kubeflow, SageMaker, etc.).
                                                                          • Deep understanding of Azure cloud infrastructure and microservices architectures.
                                                                              • Experience working with clinical trial systems such as EDC, ePRO, CTMS, and eTMF is strongly preferred.

                                                                                • Preferred Qualifications

                                                                                  • Familiarity with validation processes for AIML software in regulated environments.
                                                                                      • Understanding of regulatory AI guidelines (e.g., FDA’s AIML Action Plan, EMA AI Reflection Paper).
                                                                                          • Experience applying AI to unstructured data from clinical notes, adverse event reports, or scanned documents.
                                                                                              • Experience integrating AI into enterprise SaaS platforms or LIMSeQMS tools.

                                                                                                • COMPENSATION & BENEFITS:

                                                                                                  Sitero proudly offers an impressive compensation package and benefits, including a competitive salary, Variable pay, paid time off, and healthcare and retirement benefits.


                                                                                                  EMPLOYMENT TYPE:

                                                                                                  Full Time, Permanent


                                                                                                  COMMITMENTS:

                                                                                                  • Standard Hours 40 hours per week, one hour lunch, Monday – Friday.
                                                                                                    Additional hours as needed.
                                                                                                      • Willing to work in shifts as and when needed.

                                                                                                        • DISCLAIMER:

                                                                                                          Sitero is an equal opportunity employer and welcomes all job applicants. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other factors prohibited by law.


                                                                                                          Compensation$185200K Per Year

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Research
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Mentorship
  • Innovation
  • Collaboration
  • Leadership

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