Associate Director, Bioinformatics- Medical Informatics- Remote, USA

About the position Responsibilities • Lead, mentor, and manage a hybrid team of engineers, bioinformaticians, and data scientists, ensuring effective performance. • Define and implement long-term technical vision in alignment with enterprise R&D objectives. • Promote cross-functional collaboration across R&D, translational research, and clinical development teams. • Co-develop robust, containerized (Docker/WDL/CWL) and cloud-optimized (AWS/GCP) environments to support production-level deployment. • Implement data CI/CD best practices for platform stability and faster iteration in clinical data. • Support the design, development, and maintenance of scalable data pipelines, warehousing solutions, and metadata management systems. • Ensure efficient integration of data from internal and external sources (e.g., EHRs, genomics, real-world evidence, OMOP, FHIR and UMLS). • Guide the evolution of metadata models and ontologies to support interoperability across internal and external data ecosystems. • Align organizational data models with public standards from consortia such as ENCODE, HuBMAP, GREGoR, HGRP, UMLS, OMOP, and FHIR. • Collaborate with external research partners to drive data alignment across multi-stakeholder efforts. • Manage high-impact initiatives, ensuring strategic alignment, risk management, and resource optimization. • Develop executive dashboards and metrics for data quality, project delivery, and long-term data value assessment. • Support data quality, governance, and security standards in collaboration with IT, QA, and compliance functions. • Facilitate regulatory submissions and audit readiness through reliable data traceability and documentation. • Assess and apply emerging technologies in data science and informatics (e.g., AI/ML, cloud-based platforms). • Encourage a culture of scientific inquiry, operational efficiency, and interdisciplinary collaboration. • Serve as a role model for the team, establishing standards for excellence and mentoring junior engineers. Requirements • Ph.D., M.D., or Master's in Biomedical Informatics, Data Science, Computer Science, or a related field. • 7+ years in medical/clinical informatics, data engineering, or bioinformatics, preferably in biotech or pharma. • 3+ years in a leadership or team management role. • Proven experience in medical informatics, including the development and implementation of systems such as clinical informatics systems, electronic health records (EHR), or health information exchange (HIE) systems. • Experience in managing large-scale projects and cross-functional teams, with a focus on improving clinical workflows and patient outcomes. • Strong understanding of data standards (e.g., CDISC, OMOP, HL7, FHIR), privacy regulations (HIPAA, GDPR), and GxP compliance. • Deep understanding of FAIR principles, metadata standards, and medical informatics best practices. • Proven track record in developing standardized, interoperable data platforms serving large consortia or user communities. • Proficient in Python, cloud-native tools (AWS), Docker, GitHub, and workflow engines (WDL, Nextflow, or Snakemake). • Proficiency in cloud environments (AWS, Azure, GCP). • Experience with modern data stacks (e.g., Snowflake, DBT, Airflow, SQL, Python/R). • In-depth knowledge of clinical genetics, mutation analysis, and medical informatics principles, with experience in gene-disease ontologies and databases (HGVS nomenclatures, ClinVar, HGMD). • Proficient in molecular biology, and genomics for automated clinical interpretation. Nice-to-haves • Proficiency with medical informatics databases (ClinVar, HGMD, OMIM) and programming languages (Python, R, SQL, bash, Perl, C/C++, Java) in Linux/Unix. • Skilled in cloud computing (AWS, Azure, Google Cloud), CI/CD (Bamboo, Jenkins), containerization (Docker), and high-performance computing. • Strong knowledge of gene-disease ontologies, medical informatics software. • Experienced in API development, statistical analysis methods, and use of frameworks/tools like PHP, React, Symfony, and Atlassian suite (Jira, Confluence). • Advanced analytical skills focused on creating efficient, reproducible medical informatics solutions for clinical and research applications, with strong statistical analysis expertise. • Excellent written and verbal communication skills, with a proven ability to work both independently and collaboratively across teams. Benefits • 401k • medical • dental • vision • FSA • paid sick leave • generous paid time off (PTO) program