Biometrics Strategy And Business Development Director Jobs

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. You will make an impact The Director, Biometrics Business Strategy at eClinical Solutions is a senior commercial leader responsible for driving revenue growth and strategic partnerships across biometrics services, including biostatistics, statistical programming, data management, and eClinical Solutions related analytics solution, elluminate . This role focuses on expanding new and existing client relationships within the life sciences industry, shaping go-to-market strategy, and positioning the organization as a trusted biometrics partner and as a resident SME to guide customers. The ideal candidate brings deep industry knowledge, strong executive presence, and an ability to work on closing complex deals in data management and biometrics services. Your day to day Business Development & Revenue Growth: Own and execute the biometrics business development strategy to achieve and exceed revenue targets. Identify, qualify, and close new business opportunities across biotech and pharma using industry connections, inside sales team, internal leads and cross selling across the current team. Drive complex deal pursuits including end to end and functional service provider (FSP) models. Build and manage pipeline with timely and accurate inputs in CRM (salesforce) to accurately forecasting and reporting to senior leadership. Client & Partner Engagement: Serve as a trusted advisor to senior client stakeholders, including data management, clinical, biometrics, and procurement leader Develop long-term strategic relati

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. You will make an impact The Director, Biometrics Business Strategy at eClinical Solutions is a senior commercial leader responsible for driving revenue growth and strategic partnerships across biometrics services, including biostatistics, statistical programming, data management, and eClinical Solutions related analytics solution, elluminate . This role focuses on expanding new and existing client relationships within the life sciences industry, shaping go-to-market strategy, and positioning the organization as a trusted biometrics partner and as a resident SME to guide customers. The ideal candidate brings deep industry knowledge, strong executive presence, and an ability to work on closing complex deals in data management and biometrics services. Your day to day Business Development & Revenue Growth: Own and execute the biometrics business development strategy to achieve and exceed revenue targets. Identify, qualify, and close new business opportunities across biotech and pharma using industry connections, inside sales team, internal leads and cross selling across the current team. Drive complex deal pursuits including end to end and functional service provider (FSP) models. Build and manage pipeline with timely and accurate inputs in CRM (salesforce) to accurately forecasting and reporting to senior leadership. Client & Partner Engagement: Serve as a trusted advisor to senior client stakeholders, including data management, clinical, biometrics, and procurement leader Develop long-term strategic relati

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. You will make an impact: The Director, Business Development at eClinical Solutions is responsible for driving revenue growth and strategic partnerships across all eClinical solutions technology offerings and analytics SaaS solutions. This role focuses on expanding new and existing client relationships within the life sciences industry, shaping go-to-market strategy, and positioning the organization as a trusted SaaS partner to guide customers. The ideal candidate brings deep industry knowledge, strong executive presence, and an ability to work on closing complex deals. Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. Your day to day: Business Development & Revenue Growth Own and execute the elluminate business development territory strategy to achieve and exceed revenue targets and sales quota with new accounts Identify, qualify, and close new business opportunities across biotech and pharma using industry connections, inside sales team, internal leads and cross selling across the current team Drive large, complex deal pursuits for elluminate Build and manage pipeline with timely and accurate inputs in CRM(salesforce) to accurately forecasting and reporting to senior leadership Client & Partner Engagement Serve as a trusted advisor to senior client stakeholders, including data management, clinical, biometrics, and procurement leaders Develop long-term strategic relationships with accounts to support account expans

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. You will make an impact: As the Talent Acquisition Manager, you will lead eClinical Solutions’ end-to-end hiring engine from employer branding and candidate attraction through AI-enabled screening and hiring measurement. You’ll partner with hiring managers across Engineering, Clinical Data Services, Biometrics, and Corporate functions to build a modern, AI-first recruiting function that still keeps judgment and candidate experience firmly in human hands. Your day to day: AI first thought leader, who enjoys building a world class function Passion about driving data metrics and the outcomes Assess and build out a world class talent function, for a scaling global function Own end-to-end requisition management, from intake through offer, across technical and clinical hiring teams Build and maintain employer brand assets—job posts, careers site content, and social outreach—consistent with eClinical Solutions’ voice and visual identity Develop and nurture passive-candidate pipelines for hard-to-fill R+D, Product, clinical data, biometrics, and technical roles Advise hiring managers on sourcing strategy, interview design, and candidate evaluation Lead intake conversations that translate business needs into clear hiring criteria Own the hiring scorecard—time-to-fill, quality-of-hire, source effectiveness, and candidate experience—and report performance to leadership Redesign recruiting workflows to remove manual, repetitive tasks and focus recrui

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. As the Director of Engineering, Members Platform, you will lead the organization responsible for delivering seamless, secure, and frictionless consumer experiences for CLEAR’s members. You will own the platforms powering membership, identity proofing and biometrics—driving strategy, execution, and operational excellence at scale. What you’ll do: Define and execute the technical strategy and roadmap for CLEAR’s member-facing platforms, including membership, identity proofing and biometrics Lead and develop a team of Engineering Managers and senior ICs, building a high-performing organization focused on growth, accountability, and impact Partner cross-functionally with Product, Security, and Engineering leadership to align on priorities, architecture, and delivery of secure, scalable solutions Own vendor strategy and integrations across CRM, payments, and billing platforms, ensuring cost efficiency, reliability, and scalability Establish and uphold engineering standards, driving best practices in system design, reliability, observability, and operational excellence How you’ll measure success: Platform reliability and performance, including uptime, latency, and scalability of member-facing systems Delivery against roadmap commitments and successful execution of strategic platform initiatives Cost optimization and efficiency across vendor platforms and infrastructure Strength and growth of the engineering organization, including retention, engagement, and leadership development Adoption of engineering best practices and measurable improveme

Job Title: Lead - Aggregate Reporting Employment Type: Full-time Work Type: Remote About ClinChoice: ClinChoice is a partner to the largest pharmaceutical, medical device, and consumer care innovators in the world. Established in 1995, we provide expertise in clinical operations, biometrics, regulatory affairs, pharmacovigilance, medical affairs, and toxicology to help our partners advance healthcare by accelerating clinical trials with data-driven insights, delivering the best strategies for product registration, and enhancing patient safety through real-world and clinical analysis. Our global delivery network has expanded to centers and satellite offices in the United States, Mexico, the United Kingdom, Armenia, China, Japan, India, and the Philippines to help our customers maintain regulatory compliance locally and globally. We have forged future-defining partnerships with industry bodies and technology companies to develop cutting-edge solutions that deliver our expertise with quality and precision. Primary Responsibilities: Responsible for authoring Aggregate Safety Reports (including but not limited to PBRER/PSUR, ACO, DSUR, PADER, CAR, RMP, Ad-hoc safety reports for medicinal and non-medicinal products and EU-MDR PSUR, PMSR, PMSP, and PRER reports for medical devices, and Cosmetovigilance reports for Cosmetic products for submissions to various health authorities as per the requirement). Plan report-specific timelines, identify relevant stakeholders, request calls for contributions, and coordinate with various stakeholders for obtaining relevant data for the preparation of aggregate safety reports. Review the safety data (including the seriousness and expectedness assessments of events, as may be necessary) as per the agreed strategy and sponsor’s conventions and verify the correctness and completeness of contributions received from stakeholders. Perform aggregate review of post-marketing cases received in global databases and assess whether the cases alter t

At Kailera, we are bold, authentic and committed to our mission of developing therapies that give people the power to transform their lives and elevate their overall health. Rooted in an entrepreneurial spirit and a team-oriented culture, we are working together to advance Kailera’s mission to advance novel therapies for obesity and related conditions. We are passionate about creating an inclusive workplace that promotes collaboration, integrity, and excellence. As we expand, we seek the most talented individuals with diverse backgrounds, cultures, perspectives, and experiences to join our team. What You’ll Do: We are seeking an experienced Data Management leader to join us as the Senior Director, Data Management. Reporting to VP, head of Biometrics, this role will define and execute the global clinical data management strategy, scale the data infrastructure, and oversee end-to-end data integrity across all phases of clinical development. As a strategic and operational leader, this individual will drive data quality, standardize processes, and ensure inspection readiness. Responsibilities: Actively plan and manage full-lifecycle clinical data quality and integrity across all trials (including eCRF builds, edit checks, external data integrations, reconciliations, data cleaning, database locks, and submission readiness). Build and scale a high-performing Data Management organization; drive departmental performance, resource allocation, and talent development to maintain a resilient, growth-oriented team. Drive strict compliance with global regulatory standards and internal SOPs while supporting regulatory audits and maintaining inspection readiness. Cultivate strong cross-functional partnerships and represent Data Management in key cross-functional forums and enterprise initiatives. Manage CRO relationships to ensure timely, high-quality deliverables, establishing robust quality metrics and governance frameworks. Required Qualifications: 10+ years of cli

At Kailera, we are bold, authentic and committed to our mission of developing therapies that give people the power to transform their lives and elevate their overall health. Rooted in an entrepreneurial spirit and a team-oriented culture, we are working together to advance Kailera’s mission to advance novel therapies for obesity and related conditions. We are passionate about creating an inclusive workplace that promotes collaboration, integrity, and excellence. As we expand, we seek the most talented individuals with diverse backgrounds, cultures, perspectives, and experiences to join our team. What You’ll Do: Kailera Therapeutics is seeking an experienced Data Management professional to join as Director, Data Management. This role is accountable for the timely delivery and high-quality execution of Data Management deliverables across early- and late-phase clinical trials. The Director partners closely with key study stakeholders to define and implement a clear, comprehensive data strategy for assigned programs and studies. This position reports directly to the Head of Clinical Data Management. Required location: Waltham, MA (hub-based, onsite 3-4 days per week) Responsibilities: Lead vendor oversight activities across global development programs, ensuring alignment between Kailera and CROs on all data management deliverables. Provide program-level leadership and oversight of clinical data management activities; monitor and report on program and study progress. Represent the Data Management function on the study team, fostering cross-functional collaboration and clear expectations. Monitor vendor performance and quality metrics, escalate issues to management, and drive resolution strategies. Proactively identify risks and develop and implement mitigation or corrective action plans. Ensure Data Management Trial Master File (TMF) documentation is filed accurately and maintained in an inspection-ready state. Support study-level inspection readines

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Staff Machine Learning Engineer, Identity Verification As a Staff Machine Learning Engineer on the Identity Verification team within the Platform group, you'll own the ML systems that determine whether a person, document, and capture session are legitimate. Every signup, account recovery, and high-risk action at Coinbase depends on these models. You'll lead the technical strategy for IDV ML end-to-end, from architecture through production enforcement, protecting the integrity of millions of accounts. What you'll do: Own the full IDV ML stack, including document authenticity models, 1:1 and 1:N face-match, liveness detection, presentation-attack detection, and deepfake/injection detection from feature pipeline through threshold tuning and production enforcement. Build identity-graph systems using GNNs that cluster accounts sharing biometric, device, and document signals to detect synthetic-identity rings and coordinated fraud at onboarding. Develop behavioral and device-intelligence models for capture-session anomaly detection, bot-vs-human classification, and device-fingerprint-based risk scoring at real-time latency. Drive vendor ML strategy by benchmarking external models against a Coinbase-owned evaluation set, designing dynamic routing logic across providers and geographies, and building the in-house evaluation layer that catches regressions befo

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Staff Machine Learning Engineer, Identity Verification As a Staff Machine Learning Engineer on the Identity Verification team within the Platform group, you'll own the ML systems that determine whether a person, document, and capture session are legitimate. Every signup, account recovery, and high-risk action at Coinbase depends on these models. You'll lead the technical strategy for IDV ML end-to-end, from architecture through production enforcement, protecting the integrity of millions of accounts. What you'll do: Own the full IDV ML stack, including document authenticity models, 1:1 and 1:N face-match, liveness detection, presentation-attack detection, and deepfake/injection detection from feature pipeline through threshold tuning and production enforcement. Build identity-graph systems using GNNs that cluster accounts sharing biometric, device, and document signals to detect synthetic-identity rings and coordinated fraud at onboarding. Develop behavioral and device-intelligence models for capture-session anomaly detection, bot-vs-human classification, and device-fingerprint-based risk scoring at real-time latency. Drive vendor ML strategy by benchmarking external models against a Coinbase-owned evaluation set, designing dynamic routing logic across providers and geographies, and building the in-house evaluation layer that catches regressions before they reac

Backend Engineer (Senior Level) - SDE IV We're looking for a Senior Backend Engineer to lead the architecture and evolution of backend services that deploy and serve machine learning models in production. You'll work closely with ML Engineers, Platform, and Product teams to build scalable, reliable systems and drive technical direction across multiple teams. What You’ll Do Design and drive the long-term architecture of backend services for biometrics and ML model serving. Collaborate with core platform and backend teams on organization-wide architectural initiatives. Partner with business and engineering teams to design and deliver cross-cutting platform capabilities. Lead architectural reviews, mentor engineers, and promote engineering best practices. Build and maintain backend services for deploying and serving ML models Monitor service reliability, performance, and scalability in production Deploy and operate services on AWS using ECS + Fargate, SageMaker, or EC2 + Kubernetes Support real-time and batch inference workflows Contribute to CI/CD pipelines and deployment automation What We’re Looking For Strong expertise in backend development using Java and working knowledge of Python. Experience mentoring engineers and driving architectural decisions. Working knowledge of Python, especially for ML-related workflows Hands-on experience with AWS (e.g., DynamoDB, ECS, EC2, Redis, S3, SageMaker) Familiarity with Terraform or other infrastructure-as-code tools, and experience with CI/CD and production monitoring Experience with observability tools (Datadog, New Relic, etc.) Experience with containers and orchestration (Docker, ECS, etc.) Understanding of how ML models are deployed and served in production Experience with Kubernetes Nice to Have Experience with MLOps or ML platform engineering. Experience with asynchronous programming and event-driven systems. Jumio Values: IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation Equal Opportunities :

Machine Learning Engineer – Biometrics (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestra

Role Purpose At Jumio, we’re building trusted identity solutions powered by machine learning and biometrics. As a Data Engineer II , you will take ownership of designing, building, and scaling data pipelines that power our ML systems. You’ll work closely with ML engineers, platform teams, and product stakeholders to enable robust dataset creation, benchmarking, and production-grade data workflows on AWS. What You’ll Do Design, build, and maintain scalable and reliable data pipelines for dataset creation, transformation, and benchmarking Own and optimize Airflow pipelines on AWS for data processing, orchestration, and evaluation workflows Write efficient, production-grade SQL and Python code for large-scale data processing and analysis Partner closely with ML engineers to enable model training, evaluation, and benchmarking pipelines Improve pipeline performance, reliability, and observability, ensuring high data quality in production Build and maintain systems to support model performance tracking and data drift monitoring Troubleshoot and resolve data issues across pipelines, ensuring minimal impact on ML workflows Contribute to data architecture decisions and best practices across the platform Collaborate cross-functionally with ML, platform, and data teams to support scalable ML infrastructure What We’re Looking For 3–5 years of experience in Data Engineering, Data Platforms, or related roles Strong proficiency in Python and SQL with experience in production systems Hands-on experience with AWS services (S3, EC2, SageMaker or similar) Solid experience building and managing Airflow (or similar orchestration tools) Strong understanding of data engineering fundamentals (ETL/ELT, data modeling, pipeline design) Experience working with large-scale datasets and distributed data systems Experience supporting ML workflows, datasets, or evaluation pipelines Strong problem-solving skills and ability to work independently in a fast-paced environment Nice to Have Experience w

Role Purpose We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on ex

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. eClinical Solutions is committed to driving innovation in clinical trials through a better approach to data management and data analytics. We use the eClinical Solutions technology platform, elluminate , throughout the data management process to accelerate timelines for our clients and automate manual processes. We believe in a more agile approach to data management using our core technology elluminate - enabling our life sciences clients to proactively manage their clinical programs and make decisions. You will make an impact: Experienced Clinical Data Manager with expertise in the review and reporting of clinical data throughout the entire data lifecycle. Proven track record of developing comprehensive study documentation, designing, implementing, and managing data deliverables from start-up to closeout in adherence to industry standards and regulatory requirements . Skilled in fostering collaboration among clinical operations, biostatistics, and programming teams to integrate data management activities and enhance operational efficiency. Committed to continuous improvement by staying knowledgeable of emerging technologies and industry trends to implement best practices for effective and efficient data management. Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. Your day to day: Acts as support for primary DM representative for eClinical Solutions and sponsor data management interaction, ensure eClinical Solutions data management pro