Apply computational and biological expertise to help answer high-value scientific questions using diverse biological, molecular, and clinical datasets.
Compensation
The annual base salary for this position ranges from $106,000.00 to $176,600.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 15.0% of the base salary and eligibility to participate in our share based long term incentive program.
Responsibilities
Own scoped analyses and defined biological investigations with appropriate guidance
Partner with scientists to understand biological questions and analytical needs
Apply computational methods to generate high-quality scientific insights
Build expertise in disease biology, drug discovery, and development
Learn how computational evidence supports scientific and portfolio decisions
Requirements
PhD in Computational Biology, Bioinformatics, Genetics, Genomics, Systems Biology, Biostatistics, Biomedical Engineering or related discipline
Master's degree with 2+ years of relevant experience
Apply computational and biological expertise to help answer high-value scientific questions using diverse biological, molecular, and clinical datasets.
Compensation
The annual base salary for this position ranges from $106,000.00 to $176,600.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 15.0% of the base salary and eligibility to participate in our share based long term incentive program.
Responsibilities
Own scoped analyses and defined biological investigations with appropriate guidance
Partner with scientists to understand biological questions and analytical needs
Apply computational methods to generate high-quality scientific insights
Build expertise in disease biology, drug discovery, and development
Learn how computational evidence supports scientific and portfolio decisions
Requirements
PhD in Computational Biology, Bioinformatics, Genetics, Genomics, Systems Biology, Biostatistics, Biomedical Engineering or related discipline
Master's degree with 2+ years of relevant experience
Nice to have: Experience in biotechnology, pharmaceuticals, healthcare, or biomedical research
Nice to have: Experience supporting drug discovery or development activities
Nice to have: Familiarity with AI-enabled scientific workflows
Bridges the gap between artificial intelligence innovation and practical cyber defense operations to drive the strategic adoption of AI technologies in security infrastructure.
Compensation
$122,000-$253,000
Responsibilities
Define strategic vision for AI-enhanced security capabilities aligned with organizational risk posture.
Identify and evaluate AI/ML use cases for cyber defense, threat detection, incident response, and security operations.
Assess emerging AI technologies for applicability to security challenges including anomaly detection, threat intelligence, and automated response.
Stay current on AI threat landscape, including adversarial AI and AI-powered attacks.
Bridge communication between technical teams, security operators, and business stakeholders.
Requirements
Bachelor's degree in Engineering, Computer Science, Cybersecurity, Information Systems, or related field
Master's Degree preferred
Nice to have: Securing AI system
Nice to have: AI in defensive system operations (SOC)
Lead the design, build, and operation of algorithmic systems that transform aerial imagery into high‑quality property‑level map data for Nearmap’s AI products.
Responsibilities
Design, build and run production pipelines that turn aerial imagery and other geospatial data into property‑level map data
Design, implement, and maintain features for our BOM generation and SCA scanning engines
Use agentic AI coding tools daily (Claude, Copilot, Cursor, or similar) to speed up development, testing, and review: prompting, verifying, and iterating with judgment
Stay current on emerging AI coding tech and help the team adopt what actually improves developer experience
Build and improve data pipelines that ingest package registry, vulnerability, and license data at scale
Write clean, well-tested code and participate in code reviews with senior engineers
Requirements
Bachelor's degree in Computer Science, Software Engineering, Information Technology or related field
Liderar el desarrollo de la estrategia, operación y evolución de la función de inteligencia de amenazas con la finalidad de identificar, analizar, correlacionar y comunicar las amenazas cibernéticas a las cuales el Banco está expuesto.
Responsibilities
Plan and execute the Information Security (IS) strategy and develop and manage security solutions for multiple areas
Utilize a global risk management model to analyze emerging security threats and define solutions to mitigate exposure
Advise and provide direction to the business and IT leaders on risk management decisions
Establish alignment of IS program with business strategy, and coordinate with leadership to achieve IS program goals and goals
Determine approach to execute functional strategy and oversee end results, budgeting, planning, policy and future strategy formulation
Requirements
Bachelor’s degree/University degree or equivalent experience
Looking for an MLOps Engineer to help turn pricing models and data science work into reliable production workflows. Working with Pricing, Data Science, Data Engineering and ML Engineering teams to build pipelines that are easier to test, release, monitor and maintain.
Locations (3)
Leicester, Leicestershire, United Kingdom
Bexhill, East Sussex, United Kingdom
London, London, United Kingdom
Compensation
Competitive bonus scheme - all colleagues are eligible for our annual 4Cs performance bonus
Responsibilities
Build, improve and maintain machine learning pipelines used within Market Pricing.
Productionise Python-based models, notebooks and data science workflows.
Help move models from development into repeatable, tested and documented production processes.
Improve how model workflows are tested, released, monitored and maintained.
Develop reporting and trend-analysis capabilities that help customers quantify the operational value and performance improvements delivered through their Tantalus deployments
Analyze outage performance, reliability, power quality, device performance, and other operational metrics to identify meaningful trends, risks, and improvement opportunities.
Support the development of benchmarking models that compare performance across customer deployments and help utilities understand their relative cost position and operational outcomes.
Enhance existing analytics models, reporting frameworks, and internal analytics initiatives.
Requirements
Bachelor’s degree in Computer Science, Data Science, Software Engineering, Statistics, Mathematics, Engineering, or a related field.
Nice to have: Internship
Nice to have: co-op
Nice to have: academic project
Nice to have: research experience involving data analytics, machine learning, software development, or reporting solutions
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