Duties: Conduct end-to-end computational analyses of single cell and spatial transcriptomics data; Contribute to establishment and maintenance of single-cell and additional bioinformatics processing pipelines; Implement tools for cross-dataset and multi-omics data harmonization, integration, and visualization; Develop and implement innovative computational biology algorithms and data science approaches towards identification and in-silico validation of novel immuno-oncology targets and biomarkers; Advance analytics support for in-vitro and in-vivo validation of drug targets, mechanism-of-action (MOA) analysis, patients’ stratification and biomarkers discovery
Requirements: Ph.D. or equivalent hands-on years of experience in Bioinformatics/Computational Biology & Data Sciences; Strong programming and data science skills (Python or R preferred); Hands-on experience in data analysis workflows of RNA-Seq and single-cell RNA-Seq; Ability to propose and carry out independently computational biology research projects; Demonstrated impact via the development of novel innovative algorithms/analyses and the adoption of available open source or licensed solutions

Duties: Lead and individually contribute to data science and machine learning R&D projects; Use your expertise in data science, machine learning, and computer science to lead research projects and recommend solutions to technology and business problems; Interview candidates for open positions on our team; Lead and contribute to projects from early-stage research through development, in consultation with stakeholders; Provide technology leadership to yield innovative differentiating solutions; Implement and optimize state-of-the-art algorithms in distributed environments
Requirements: Ph.D. in a computational, mathematical, engineering, or scientific field; Fluency in computer programming, data structures, and algorithm design; Proven analytic and modeling skills; proficient at implementing, and evaluating accurate and scalable solutions to business problems; Proven ability to lead development projects from conception through deployment; Proven ability to lead and conduct research projects; 2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms

Duties: The Bioinformatics Engineer plays an important role in the quality control, assembly, annotation, and dissemination of microbial (bacterial and viral) genomes in a military medical research setting. While the primary task for the Bioinformatics Engineer is to assist in microbial genome assemblies and downstream analyses to a complete (polished genome) standard, they will also contribute to other tasks such as analysis of RNAseq data and bioinformatic pipeline development and testing
Requirements: Candidates must have completed a Bachelor’s or Master’s degree from an accredited US university, or international university of equivalent standard, in Bioinformatics, Computer Science (combined with experience or education in biology or bioinformatics), Computational Biology, Mathematics or a closely related area; Candidates must have at least 2-4 years of hands-on experience in Bioinformatics; Possess programming skills in languages such as JAVA, PERL, PYTHON, and statistical software such as R or R Studio; Maintain a familiarity with next generation sequencing and microarrays

Duties: Develop and implement machine learning algorithms to solve business problems; Design and implement scalable data processing and machine learning pipelines; Collaborate with product, engineering, and data teams to identify machine learning opportunities; Evaluate and improve the performance of machine learning models; Stay up-to-date with the latest developments in machine learning research and apply them to real-world problems; Write clean, scalable, and maintainable code; Communicate technical concepts and ideas to both technical and non-technical stakeholders
Requirements: PhD or Masters's Degree in Computer Science, Mathematics, or Statistics a similar technical field of study with a specialisation in Machine Learning, Data mining, Information Retrieval or Data science; 10+ years of industry experience in building production-grade machine learning systems with all aspects of research, model training, tuning, deploying, serving and monitoring. Industry experience in ecommerce, recommender systems, digital marketing or two-sided marketplaces is a plus

Duties: Improve existing pipelines for content acquisition; Develop, train, and validate machine learning models to target various use cases for biological literature; Use a variety of NLP libraries and techniques for entity recognition and relationship extraction; Contribute to quality control and reliability efforts for our processes, pipelines, tools, and models that support development, build, and maintenance our biological content
Requirements: Graduate degree in bioinformatics, computer science, or related field combined with 5-8 years of experience in NLP engineering; Proficiency inJava or Python and a demonstrable ability to quickly learn; Solid understanding of the deep learning ecosystem; Experience with machine learning algorithms and frameworks such as PyTorch or Tensorflow; Experience with word embeddings and language models such as Word2Vec or BERT

Duties: Individually contribute to data science and machine learning R&D projects; Use your data science, machine learning, and/or computer science skills to conduct research and contribute to solutions to technology and business problems; Contribute to projects from early-stage research through development; Implement and optimize state-of-the-art algorithms in distributed environments; Develop an understanding of Epsilon PeopleCloud Digital Media Solutions personalization platform and proprietary datasets; Participate fully in our collaborative approach to research and applications projects
Requirements: Ph.D. in a computational, mathematical, engineering, or scientific field; Fluency in computer programming, data structures, and algorithm design; Proven analytic and modeling skills; Proven ability to conduct research projects; Research experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms

Duties: Design, prototype, implement, evaluate, optimize and monitor machine learning algorithms and related software systems to generate sports data and insights with high accuracy and low latency; Build, test, deploy and maintain production systems; Maintain and promote best practices for software development, including deployment process, documentation, and coding standards; Contribute to technical and product discussions, and share knowledge and ideas with colleagues across the company
Requirements: BSc or MSc or equivalent experience with a strong software engineering component; Experience with deep learning and some of the languages and technologies in our stack; Affinity for teamwork and collaboration with others to solve problems, share knowledge, and provide feedback

Duties: Conduct end-to-end computational analyses of single cell and spatial transcriptomics data; Contribute to establishment and maintenance of single-cell and additional bioinformatics processing pipelines; Implement tools for cross-dataset and multi-omics data harmonization, integration, and visualization; Develop and implement innovative computational biology algorithms and data science approaches towards identification and in-silico validation of novel immuno-oncology targets and biomarkers; Advance analytics support for in-vitro and in-vivo validation of drug targets, mechanism-of-action (MOA) analysis, patients’ stratification and biomarkers discovery
Requirements: Ph.D. or equivalent hands-on years of experience in Bioinformatics/Computational Biology & Data Sciences; Strong programming and data science skills (Python or R preferred); Hands-on experience in data analysis workflows of RNA-Seq and single-cell RNA-Seq; Ability to propose and carry out independently computational biology research projects; Demonstrated impact via the development of novel innovative algorithms/analyses and the adoption of available open source or licensed solutions

Duties: Develop long term strategy for scaling the routing and delivery optimization systems; Lead the team in model and algorithm development by taking business requirements and complex problem statements, and clearly defining data science/statistical projects; Develop and operationalize machine learning and science-based tools/models iteratively to support growing business use cases and complexity; Develop and deliver on key performance indicators for financial impact, customer impact, labor impact, and more
Requirements: 8+ years in routing, optimization, machine learning, data science, and/or engineering positions in top CPG, retail, or e-commerce organizations; 5+ years’ experience managing people and leading a team of leaders; An advanced degree (M.S., Ph.D., or equivalent experience) in Statistics, Applied Mathematics, Engineering, Computer Science, or related field; Proven experience with bringing structured thinking in ambiguous problems spaces and delivering solutions; Experience with machine learning and advanced optimization methodologies

Duties: Teaching statistics and mathematics across the baccalaureate spectrum; Conducting scholarly activity that advances the professional and scholarly goals of the faculty member, the Department of Mathematics, the College of Science, and the University; Advising and mentoring students as they progress through their academic careers; Participating in service activities at the Department, College, and University levels
Requirements: A doctorate in Statistics, Statistics Education, or closely related field, earned by August 14, 2024, is required. For those with a doctorate in Statistics Education, a master's degree in Statistics, Mathematics, or closely related field is required

Duties: Conceive, develop, and deploy robotic and automation software solutions for advanced manufacturing applications and perception-driven solutions; Design, build, debug and implement robotic and automation solutions. Spec, develop pipelines, and implement on hardware perception and perception enabled solutions for high mix environments; Develop and test advanced software solutions for manufacturing and industrial processes and technologies; Assist in preparing proposals and cost estimates. Meet with customers to promote new business and develop technical requirements
Requirements: Requires a Bachelors, Masters, or a PhD in Robotics, Mechanical Engineering, Electrical Engineering, Software Engineering, or Computer Science or similar (PhD requires 0 years, MS requires 1, and BS requires 2); 2 years experience: Development of electromechanical and robotic systems from concept to deployment (full spectrum of robotic solution development); Development work using C, C++ or python

Duties: Perform engineering design and analysis of complex fluid flow systems in support of validation testing or other research studies for external and internal customers; Use of Creo and/or SolidWorks preferred; Conduct evaluations and reviews of system designs with a mind for safe operation of high temperature/pressure systems; Communicate with clients to arrange for conducting experiments and testing including quoting/bidding the cost to test based on their requirements; Coordinate with the team of engineers and technicians to execute all preparation, safety assessment, setup, testing, and data processing tasks needed for each project; Ensure strict adherence to test procedures and safety protocols to maintain compliance with the Quality Management System, and work with the team to document and close any non-conformances
Requirements: Requires a Bachelors in Mechanical Engineering or directly related engineering degree; summer internship or undergraduate research in the area of: petroleum systems, complex fluid flow systems, fluid rheology or similar field

Duties: Computer simulations of materials under shock and impact; Testing of materials with MTS, Hopkinson Bar, Plate Impact, ballistic impact, etc; Develop algorithms in MatLab, Python, FORTRAN, or similar for high strain-rate applications; Use of lasers in various applications; Use of digital image correlation
Requirements: Requires a PhD in Mechanical Engineering, Materials Engineering) or Nuclear Engineering; Previous experience with computer codes applied to impact problems is a plus

Duties: Develop models for fluid thermal systems using 1D finite volume of finite element principles. This may include the use of off the shelf software such as Hysys, NPSS, or fluent; Develop and validate simulations for control strategies for fluid thermal systems using 1D finite volume of finite element principles. This may include the use of off the shelf software such as Hysys, NPSS, or fluent; Develop improved or optimized piping system designs/improvements for existing or planned systems based off of model feedback; Run cycle analysis and optimize cycles for refrigeration and power generation
Requirements: Requires a Bachelors, Masters or a PhD in Mechanical Engineering. experience in Thermal fluid system modeling and control background. Graduate experience in developing model and control algorithms for thermal fluid piping systems is preferred

Duties: Conduct fluid system modeling for applications in launch vehicles and turbomachinery using engineering software; Be a solution-oriented problem solver that exercises creativity and independent judgement in determining approaches to solve a wide range of technical problems with moderate supervision; Write technical reports, papers, proposals and prepare technical presentations for client meetings and conferences; Design, analysis, and test support for fluid/thermal projects within the Department, such as combustion, turbomachinery primary and secondary flows, aerodynamic design, supercritical CO2 power systems, heat exchangers, gas system design and modeling
Requirements: Requires a Bachelors in Mechanical Engineering, Aerospace Engineering, or related engineering degree; 0-5 years expierence in conducting fluid and thermal systems analyses using commercial software, such as flow network solvers or computational fluid dynamics (CFD) solvers

Duties: Collects data and prepares organization-wide project status analysis and reporting; Assists the individual project participants with resources and guidance for documentation, training, and best practices; Coordinates efforts to optimize cross-project resources; Additionally, participates in the financial auditing and assessment of completed projects and the development of future project roadmaps
Requirements: At least 10 years of experience and Bachelor’s Degree in the field/related area; Must be able to work on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge

Duties: Works collaboratively with Statistical Programmers, Biostatisticians, Clinical Research Associates, Clinical Data Managers, Data Scientists, Dev Systems, and other Clinical, Global Drug Safety, Regulatory, IT, and Project Management staff to deliver on cross-functional initiatives and projects; Research and support the implementation of innovative trial designs by exploring statistical methodologies, understanding industry best practices, sharing knowledge with cross-functional teams, and supporting the design of innovative trials; Serve as a statistical expert for risk-based quality management, with a focus on developing centralized statistical monitoring methods, tools, and processes; Design, prototype, and build tools to empower study teams including analytical dashboards, trial simulation packages, data visualizations, and automated workflows
Requirements: 8+ years of industry experience in clinical trials and a BS degree in Biostatistics or equivalent; Strong background in statistics, programming, and data analysis; Hands-on trial statistician experience with trial design, conduct, analysis, and reporting; Deep and broad knowledge of current statistical methods and drug development best practices; Expert in R and Python including experience with statistical simulations, package and Shiny development, and machine learning or AI-related use cases

Duties: Perform tasks under the guidance of project lead or CMS departmental principals on analytic design and statistical analytic planning, coordinate real world database management, and data warehouse construction or maintenance. Develop documentations of analytic plans, prepare for statistical concept communications and be able to advise on analytic strategies and recommend methodological solutions on complex analytic topics. Lead and perform statistical analyses, modeling, reporting, analytic interpretations, and slide development. Develop SAS macro libraries to standardize disease identification, cohort constructions, mapping of healthcare resource utilization and expenditures to standard metrics for product value propositions
Requirements: Software Developer, Software programmer, Data Analyst/Scientist

Duties: In this role you will support the design and development of new tools and platform components to improve existing platform capabilities and extend the platform to new research areas. You will work closely with other members of our team as well as our customers and partners to identify most pressing challenges and address them using cutting-edge computational biology and machine learning applications
Requirements: PhD in bioinformatics, computer science or a related discipline; 5+ years’ experience (in industry or academic environments, work towards PhD counts) in bioinformatics, data science, scientific software development or related role; Deep knowledge and experience analyzing large omics and molecular data either from industry or academia; Experience with NGS platforms, systems biology and machine learning; Advanced skills in Python and/or R

Duties: Lead an existing team of data analytics and/or research scientists to perform cutting edge energy analytics; Drive day to day technical experiment choices for exploring solutions to a given problem; Facilitate healthy brainstorming while keeping realistic timelines in mind; Productize the proven algorithms in a timely manner; Measure and improve the quality of analytics solutions on an ongoing basis; Drive, create and manage regression suites for analytics solutions
Requirements: BS/MS/PhD/PhD dropout in Computer Science, Statistics, Applied Math, Physics or related areas; 7-10+ years of industry experience in the Data Mining Research having delivered solutions that are operational in real life applications; Past experience of leading or managing an analytics team to deliver solutions in industry

Duties: The Machine Learning and Inference Research team is a dedicated research team designed to build up Netflix’s technical capabilities by diving deep and exploring research questions aligned with the biggest challenges at Netflix while partnering with teams across the business to bring these capabilities to life. As a member of the Machine Learning and Inference Research team, you will have the opportunity to drive and execute bleeding-edge research while working in close partnership both with other researchers in the team and with partners in a wide range of teams across product, growth, and content. You will leverage your expertise in the frontiers of ML to influence the direction of company roadmaps and to work collaboratively cross-functionally to prototype, test, and implement your research to deliver improvements to the member experience and drive change across the company
Requirements: Ph.D. in a relevant area, with multiple years of post-Ph.D. experience in industry and/or academia; Experience in applying research (preferably yours) to transform real business problems in collaboration with engineering and business teams; Ample research experience, in industry and/or academia, including as evidenced in publications; A track record of bringing clarity to and leading ambitious research projects inspired by real-world challenges

Duties: Devise, implement and lead research projects focused on identifying and characterizing molecular networks underlying human traits using data from human biobanks and other sources; Use statistical associations, causal inference methods and biological knowledge to generate hypotheses and design experiments to test them; Work in close collaboration with an interdisciplinary group of experimental scientists, computational biologists and statisticians
Requirements: A PhD degree in biology, genetics, computer science, statistics or related fields; 5+ years of experience in statistical genetics and/or epidemiology (including PhD). Post-graduate experience (post-doc or industry) is a plus; Strong coding skills in Python and/or R

Duties: We are seeking a highly skilled and experienced Actuarial Valuation Leader to join our team. The Actuarial Valuation Leader will play a pivotal role in ensuring the accuracy and integrity of our annuity valuation processes, providing valuable insights to support strategic business initiatives and regulatory compliance
Requirements: Fellow Society of Actuaries; 10 years’ experience in actuarial roles within life insurance industry; Technical proficiency in actuarial software (AXIS preferred) and familiarity with data programming languages used in data analysis (e.g., R/Python); Thorough understanding of actuarial principles, annuity products, US Stat, and US GAAP

Duties: Design, develop, and implement state-of-the-art motion planning and trajectory control algorithms to optimize robot paths and ensure precise movement in complex, indoor environments for a multi-robot navigation system; Collaborate with cross-functional engineering teams to seamlessly integrate planning and control algorithms into robotic systems; Conduct rigorous testing, simulation, and troubleshooting to validate performance and identify areas for continuous enhancement and adaptation of the multi-robot system; Identify and implement performance improvements in a large distributed robotic system, leveraging architectural changes as needed; Provide live deployment support and troubleshoot issues in real-time for a fleet of hundreds of robots
Requirements: Master's degree in computer science or similar engineering degree; 5+ years of experience developing production software with C++ or other object-oriented languages; 5+ years experience with techniques and applications in mobile robot controls, path planning, or scheduling/optimization; 5+ Extensive experience debugging and profiling applications/algorithms; Proficiency with working in a Linux development environment

Duties: Shape, grow, and lead exceptional teams that deliver novel, strategic ML solutions for Rokts product offerings; Leverage your ML industry expertise to introduce new technologies and processes and drive innovation within Rokt’s product offerings; Lead the development and deployment of machine learning models for content. understanding, embeddings, recommender systems, and ranking; Develop and maintain a deep understanding of user behavior, preferences, and engagement patterns through the use of ML; Collaborate with cross-functional teams including product, engineering, design, and data science to identify and prioritize opportunities for machine learning; Provide technical leadership and mentorship to the machine learning team; Partner with business stakeholders to understand their needs and develop solutions that drive business outcomes
Requirements: You have a deep technical background in applied machine learning, including deep learning, computer vision, natural language processing, and data engineering; An eye for product and relentlessly putting the customer at the heart of your strategic decisions; Previous experience in building and leading ML teams in creating end-to-end machine learning pipelines, including algorithms and tooling; Nice-to-have: A published researcher with a strong track record of academic experience in ML and AI