Duties: Possesses a level of versatility to learn new lines of business, balance multiple projects, and a desire to develop and grow within this role; Ability to cultivate relationships between the actuarial/analytics unit and other functional support units within the organization through collaboration and communication; Develops and maintains tools to measure and monitor profitability by business unit and product; Identifies trends in claim frequency and claim severity; Creates & maintains reports to measure and monitor rate, action-taken, and its impact on retention and new business growth
Requirements: Requires a Bachelor’s degree and at least five years of actuarial work experience or equivalent; Equivalent is considered nine years of actuarial work experience; Must have a solid background in the P&C commercial insurance space, including familiarity with ISO forms/rules.Eager to learn new lines of business and strong desire to be part of a team; Ability to self-motivate and drive to succeed, prior experience of demonstrated goal achievement required, andextensive knowledge of the insurance industry

Duties: Manage a team of biostatisticians, taking responsibility for their technical and professional development; Oversee and provide technical guidance on the implementation and execution of relevant statistical analyses (e.g., sample size, power, accuracy, precision, LoD) for studies of varying complexity; Produce high quality presentations and author documentation of analysis plans, methods, results, and interpretation; Effectively convey statistical concepts and results to cross-functional collaborators and stakeholders; Directly influence and maintain departmental standards for the development and execution of analysis plans; Identify risks, communicate concerns, and champion solutions to interdisciplinary project teams; Perform other duties as assigned
Requirements: Master’s degree in Biostatistics, Statistics, Bioinformatics, Engineering, or equivalent with 4+ years of relevant experience, or PhD in Biostatistics, Statistics, or equivalent with 2+ years of relevant experience; Minimum of 2 years of diagnostic product or medical device development experience; Minimum of 3 years practical experience with statistical analysis software such as SAS, JMP, or R, or 4 years other relevant object-oriented programming experience

Duties: Pursue independent scientific work in image segmentation, pipeline development or growth chart models; Develop scripts and procedures to curate and process large brain MRI datasets; Collaborate on pipeline development with other labs at Penn and CHOP, nationally, and internationally; Work directly with other researchers to provide support in neuroimaging informatics and ensure the lab's neuroimaging informatics needs are met; Work with PI and postdoctoral fellows to identify short-term and long-term needs in neuroimaging informatics; Develop scripts for neuroimaging analysis (FreeSurfer, AFNI, ANTS, FSL, etc) in the HPC environment at CHOP/Penn; Build computational workflows that scale and work across a broad range of file system storage; Desiminate results in scientific papers
Requirements: Doctorate Neuroimaging, Computer Science, Engineering, or similar field of study. Required; At least one (1) year of experience in scientific image processing, analysis, or multidimensional signal processing Required; At least two (2) years of experience with MR neuroimaging image analysis (fMRI, DWI, structural) or medical image analysis Preferred

Duties: Collaborate with Data Scientists and product experts to evaluate opportunities for applying ML and NLP technologies to improve the quality and efficiency of health care; to scale and optimize efficiency of internal processes; and to find insights latent in the data that may not be discoverable otherwise; For compelling opportunities, collaborate with product designers, content experts, data science colleagues, and DevOps specialists to design, develop, train, evaluate, deploy, monitor, and to maintain robust ML and NLP applications; Help optimize existing ML models and NLP solutions for better accuracy and performance, particularly in processing healthcare-related data; Work with content experts and data architects to build and improve data pipelines to ensure seamless data flow and integration for ML and NLP applications
Requirements: Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree strongly preferred; Minimum of 2 years of experience working with ML and NLP technologies with a focus on applications using regulated data, healthcare preferred. Experience with NLG technologies and/or generative AI preferred; Experience creating and managing large and complex data sets for use in AI or other advanced analytic models with corresponding languages like SQL, R, SAS and Python

Duties: Envision, plan, and execute research strategies in collaboration with other cross-functional stakeholders; Drive the development of innovative algorithms on ultra-deep sequencing data; Lead a team of Bioinformatics Scientists and support their professional growth; Foster a culture of innovation, collaboration, and scientific excellence; Work closely with interdisciplinary teams including engineering, biostats, and molecular biology teams to support the development of new products; Contribute to experimental design and ensure data integrity and quality control
Requirements: PhD in Bioinformatics, Computer Science, Mathematics, Engineering, Biostatistics, or related field; Minimum of 6-8 years of working in the bioinformatics field and extensive managerial and cross-functional experience; Track-record of leading and developing state-of-the-art and highly impactful computational methods; Highly experienced in algorithm development, data analysis, and machine learning; Experience with multiplex PCR and hybrid capture data

Duties: Act as lead and main point of contact related to Statistics for designated compound/indication; Follow scientific and technical progress within the field of biostatistics in drug development and advise of new methodologies that may support innovation and improve efficiencies; Engage with regulatory authorities on compound/indication level discussions; Acts as a role model; Ensures consistency of statistical methods and data handling across trials; Ensures all compound/indication related work and information is shared between biostatisticians involved in the compound and with the vendor
Requirements: Master's or PhD in a statistical field with 8+ (AD) and 12+ years (Director) of experience in relevant technical area; Experience in statistical analysis, modelling and simulation and adaptive trial designs; Experience with drug development in biologics, targeted therapies, and companion diagnostics preferred; Experience working with FDA, EMA, and ICH guidance for drug development pertaining to statistics; Experience with the relevant regulatory requirements for biostatistics processes and SOPs

Duties: Evaluates, analyzes, and customizes next generation sequence analysis protocols, e.g. HiSeq Analysis Software, Genome Analysis Toolkit (GATK), open source software, for a variety of sequencing applications; Develops new WGS, RNA-seq, Exome seq, genome analysis pipelines and procedures; Performs genome wide trait association analyses using tools such as Plink/seq, generalized linear model (glm); Conducts data‐driven and hypothesis-directed genomics research; Assists with the report of experimental results for publication in technical and peer-reviewed journals. Contributes and edits data, text and figures in program publications; May supervise junior informatics staff; May perform other duties and responsibilities as assigned or directed by the supervisor. This may include attendance of and participation in required training for role
Requirements: Master's Degree required, Doctoral degree preferred within Computational Biology, Bioinformatics, Biostatistics, Computer Science or related discipline; Minimum of 0-2 years experience required; Research training and proficiency in statistical analysis biomedical research, and quantitative analysis. Programming ability in (R or other statistical language); Scripting language (Perl, Python, or comparable), and (C/C++, Java or comparable language)

Duties: Populate and maintain existing plant genome data warehouses and reference databases; Develop, run, and maintain plant genome data analysis pipelines to provide proteome classification, gene expression, and gene family analysis of newly annotated JGI genomes and newly integrated externally sourced genomes; Refine and optimize data access application programming interfaces (APIs) to support the Phytozome website and internal analysis pipelines; Ensure data is submitted to GenBank and shared with collaborators in a timely manner; Explore new database technologies in order to accommodate a potential 10x increase in plant genomics data footprint; Communicate effectively with Generic Model Organism Database (GMOD) and other open-source bioinformatics communities (e.g., InterMine, Chado) to influence development priorities in line with Plant Program needs
Requirements: A Bachelor’s Degree (or equivalent knowledge/training) in Bioinformatics, Computer Science, Data Science, or related field and a minimum of 8 years of demonstrated success implementing and maintaining large scale genome sequence data analysis systems with large complex technological programs or an equivalent combination of education and experience; Demonstrated experience with standard genome analysis workflows, integrating third party and internal software, and supporting genomic analysis across multiple projects; Experience with Python including good software development practices and database design and optimization; Experience with database schema design, administration, and SQL optimization

Duties: Performing all aspects of actuarial work, including financial reporting and solvency reporting; Review and analysis of the quarterly reserves and capital requirements, liaising closely with the various stakeholders; Production of quarterly packs for management reporting and presentation of this information to the Company’s Exec and Board; Engaging with Company senior management to assist them in other areas like financial risk, product distribution, and capital management; Analysis of the Own Risk Solvency Assessment (ORSA) projections and preparation of relevant reports
Requirements: Strong record of success in leading an Actuarial team and meeting project and regulatory deadlines; Excellent report writing skills with experience preparing reports for Company Executive Committees and Board; A strong desire to ultimately progress to be a HoAF in the medium/long term; An Actuarial Qualification (preferably FIA or FSAI) with 2-3 years post qualification experience

Duties: Lead the Annuity valuation team within Corporate Actuarial. Prioritizing department workflow to meet deadlines while providing a high quality product. Sets immediate and long-term strategic direction for area; Provide people leadership. Manage performance, seek professional development opportunities for each direct report, and provide the mentorship and feedback that are vital to have a strong performing team; Provide thought leadership, develops strategies and drives innovation. Monitor and influence potential changes in industry regulations and using the information to find opportunities and actions for area; Manage and build relationships with both internal and external clients. Influence and interact with people at various levels across the company including upper levels of the organization; Participate in and lead corporate teams and industry groups providing input and direction to strategic decisions; Professional development to maintain Actuarial credentials
Requirements: Bachelor’s degree (or equivalent) in Actuarial Science, Mathematics, Statistics, Data Science or a related field; 10+ years of actuarial experience; FSA, MAAA

Duties: The Senior Algorithm, AI/ML, Integration Engineer; (Remote Position) at Beckman Coulter Diagnostics is responsible for designing, developing, troubleshooting, and debugging algorithms and software programs for software enhancements and new products. Develops software tools including operating systems, compilers, routers, networks, utilities, databases, and Internet-related tools. Determines hardware compatibility and/or influences hardware design. Develops software applications, user interfaces, databases, and embedded software. Considers software architecture to include networked applications and interactions within a system. Furthermore, this associate is responsible for developing imaging engineering algorithms towards the design and implementation of medical diagnostic and clinical instrumentation, equipment, and procedures, using the principles of computer, electrical and digital signal processing engineering for the deployment of our Next Generation Diagnostics Platforms
Requirements: 5+ Years of experience in developing in C/C#/C++ for Windows and Linux; 5+ Years of experience in developing in Python for Machine Learning and Computer Vision applications; 3+ Years of experience in building and troubleshooting Linux-based ML/AI deployment pipelines for edge-devices; 3+ Years of experience in writing operating-system level scripts for software controls

Duties: Leads and influences teams whose members are seldom direct-reports; Leads, and as needed, directly develops business cases and requirements for advanced analytics supporting new and enhanced products; Leads discovery process with stakeholders to identify analytic needs, important variables that might affect the desired outcomes; Leads or determines the methods needed to meet the business requirements, along with their execution, including (as appropriate given business requirements); Research or evaluative design; Sampling design and data management including imputation and use of indirect or proxy measures; Analysis design including model contrasting, diagnostics, validation/robustness, goodness of fit, train v test, so on
Requirements: Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or in a related field; 10+ years of relevant Data Scientist experience; 5 + years demonstrated achievement with and mastery of quantitative and qualitative research and analytics experience; Solid experience supporting the development of scalable analytic and reportings

Duties: Utilizing knowledge and expertise to inform and provide sound statistical guidance to areas and teams in clinical development, reimbursement, and medical affairs; Implementing, managing and supporting standards, technical quality and consistent approaches in strategy, study design and statistical analysis; Planning and executing statistical contributions to protocols, Flash Memos and Clinical Study Reports (CSRs); Providing input for clinical publications and regulatory filing documents; Leading all aspects of work performed by study statisticians; Performing statistical and exploratory analysis of studies/projects and developing conclusions and recommendations; Anticipating and communicating resource and quality challenges that could impact results or timelines
Requirements: Doctorate degree in biostatics or statistics; 7 or more years of pharma/biotech statistical experience; Life cycle drug development experience (pre-clinical, clinical and post-marketing); Proven in leadership and motivating multi-functional team to advance complex projects to completion and thoughtfully negotiate and influence

Duties: Assist in the design and development of data science projects, focusing on large language models; Conduct data cleaning, preprocessing, and analysis to prepare datasets for training and testing models; Support the development and tuning of machine learning models, including but not limited to natural language processing and generation; Collaborate with the team to integrate LLMs into our products and services, ensuring they meet project specifications and user needs; Participate in research and review of the latest literature on machine learning and LLMs to propose improvements to current projects
Requirements: Currently enrolled in or recently graduated from a Bachelor's or Master's program in Computer Science, Data Science, Mathematics, or a related field; Strong foundation in machine learning, natural language processing, and statistical analysis; Experience with programming languages such as Python and libraries/frameworks like TensorFlow, PyTorch, or similar; Familiarity with data manipulation and visualization tools (e.g., Pandas, NumPy, Matplotlib)

Duties: Executes key projects, deliverables and operational tasks related to biostatistical strategy, technical expertise, and reporting within designated studies/products; Utilizes knowledge and expertise to inform and provide sound statistical guidance to areas and teams in clinical development, reimbursement, and medical affairs; Implements, oversees and supports standards, technical quality and consistent approaches in strategy, study design and statistical analysis; Plans and executes statistical contributions to protocols, Flash Memos, and Clinical Study Reports (CSRs)
Requirements: Doctorate degree in Statistics/Biostatistics and at least 5 years of post-graduate statistical experience in the pharmaceutical industry or medical research or related subject with high statistical content; Statistical leadership and contribution to regulatory or reimbursement submissions

Duties: Act as lead and main point of contact related to Statistics for designated compound/indication; Follow scientific and technical progress within the field of biostatistics in drug development and advise of new methodologies that may support innovation and improve efficiencies; Engage with regulatory authorities on compound/indication level discussions; Acts as a role model; Ensures consistency of statistical methods and data handling across trials; Ensures all compound/indication related work and information is shared between biostatisticians involved in the compound and with the vendor
Requirements: Master's or PhD in a statistical discipline with 12+ years of experience in relevant technical area; Experience in statistical analysis, modelling and simulation and adaptive trial designs; Experience with drug development in biologics, targeted therapies, and companion diagnostics preferred; Experience working with FDA, EMA, and ICH guidance for drug development pertaining to statistics

Duties: Estimate potential loss from simulated and actual (including real-time) natural peril disasters for individual risks and portfolios using catastrophe modeling software and related tools and approaches; Identify risk exposure to natural peril hazards by performing loss and GIS/geospatial analyses; Extract, evaluate, manipulate, implement, validate, document, and model input data from various sources to support analysis results reporting; Support catastrophe risk exposure pricing, ratemaking, regulatory agency filings, underwriting, claims, exposure management, reinsurance treaty placements, etc; Provide technical support for internal catastrophe modeling tools IAT underwriters and account managers utilize; Continually advance understanding of all aspects of catastrophe models and related considerations by studying professional literature, technical documentation, and vendor presentations
Requirements: Bachelor’s Degree and at least two years of experience or equivalent experience; A strong desire to work in data manipulation, analysis, quantification, visualization, and reporting as a primary career focus; Solid technical abilities working with data structures, manipulation/engineering, analysis, reporting, and visualization; programming and query languages; relational databases; and GIS/geospatial

Duties: Develop theory and optimization techniques for tackling noise and missing data for improved subtomogram resolution; Develop algorithms for automated marker-less alignment of X-ray and electron tomography data; Develop new data-driven methods that leverage physics-informed machine learning for reconstructing non-rigid deformations and generative modeling of conformational heterogeneity in electron tomography; Apply these new algorithms to enable high-resolution 3D reconstructions of biomolecules from cellular tomographic data; Publish scientific papers in high-impact journals and present findings at seminars and conferences; Maintain documentation of theory, derivations, and results
Requirements: A recent Ph.D. (within the last 1-2 years) in Applied Mathematics, Computational Biophysics/Physics, Computer Science, Data Science or a related discipline; Experience developing numerical methods for solving inverse problems in imaging including but not limited to phase retrieval, iterative reconstruction for tomography, and regularization techniques; Experience with generative models, variational inference, and physics informed machine learning; Strong background in scientific computing including coding experience in C++, Fortran, and Python; Knowledge of physics and mathematics of X-ray and electron microscopy

Duties: The Senior Data Scientist is responsible for end-to-end data science solutions for our data products; Has experience with traditional, as well as modern Machine Learning/Statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning; Works closely with data engineers, analysts, ML Engineers and application developers to help build ML and statistics driven models; Have a deep interest and passion for technology. You love writing and owning codes and enjoy working with people; Good at analyzing existing code, finding bugs in the existing solutions and recommending how to improve or enhance the baseline
Requirements: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in analytics related field; You have hands-on experience with Python, PySpark, SQL and the ability to write reusable and efficient code to automate machine learning pipeline and data processes; You have experience with deep learning library like TensorFlow and/or PyTorch as well as experience with Spark and/or Hadoop; Have strong knowledge of Statistics, Machine Learning, Deep Learning and NLP/NLU; Have applied industry experiece in NLP/NLU, Forcasting and Anomaly detection solution development

Duties: Build new model methodologies/capabilities to evaluate new products & features; Performing projections, analyze, summarize, and communicate results; Clearly document all model and assumptions changes and processes; Provide key metrics (VNB, IRR, ROA, etc.) with regard to proposed product designs through the use of actuarial models; Collaborating with other IR Squads and Finance/Risk Management teams regarding product development projects and develop experience studies for assumption setting; Prepare documents for and communicate with Risk Management regarding PAP and RWST assumption setting; Interaction with corporate actuarial (model development) team for new products or iterations to ensure value metrics are understood and consistent
Requirements: Bachelor's degree; FSA (or near FSA) designation; 3+ years of professional actuarial work experience; Working experience or knowledge of dynamic hedge program & strategy including derivative pricing, General Account investment implications (annuities, bond pricing, cost of capital, ALM); Demonstrated understanding of financial reporting, key metrics (US GAAP and/or Stat/EEM)

Duties: Collaborate with Data Scientists and product experts to evaluate opportunities for applying ML and NLP technologies to improve the quality and efficiency of health care; to scale and optimize efficiency of internal processes; and to find insights latent in the data that may not be discoverable otherwise; For compelling opportunities, collaborate with product designers, content experts, data science colleagues, and DevOps specialists to design, develop, train, evaluate, deploy, monitor, and to maintain robust ML and NLP applications; Help optimize existing ML models and NLP solutions for better accuracy and performance, particularly in processing healthcare-related data; Work with content experts and data architects to build and improve data pipelines to ensure seamless data flow and integration for ML and NLP applications
Requirements: Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree strongly preferred; Minimum of 2 years of experience working with ML and NLP technologies with a focus on applications using regulated data, healthcare preferred. Experience with NLG technologies and/or generative AI preferred; Experience creating and managing large and complex data sets for use in AI or other advanced analytic models with corresponding languages like SQL, R, SAS and Python

Duties: Exagen Inc. is seeking a dynamic leader in computational biology and data analytics to helm our endeavors in diagnostic testing within the realm of autoimmune diseases. As a trailblazer in the biotech sector and bolstered by our status as a publicly traded entity, our ambition is to craft a comprehensive bio-computing infrastructure. This endeavor aims to harness the vast potential of extensive clinical datasets alongside AI, paving the way from diagnostic breakthroughs to therapeutic innovations. The role of the Associate Vice President of Bioinformatics & Data Analytics is pivotal, tasked with sculpting the bioinformatics blueprint essential for groundbreaking target discovery and translational science endeavors. In this capacity, you will orchestrate a team of exceptional bioinformaticians and biostatisticians, steering efforts in target identification, biomarker unveiling, and patient stratification
Requirements: PhD in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related field; At least 8 years of post-graduate experience in bioinformatics or computational biology, with a proven track record in the biotechnology or pharmaceutical industry; Proficiency in the analysis of large-scale biological data sets, including but not limited to genomic, transcriptomic, proteomic, and metabolomic data

Duties: Oversee large and/or complicated product(s) or indication(s), which may require overseeing other Global Statistical Lead(s); Develop, lead, and serve as the primary point of contact for the statistical program strategy for a portfolio of products/programs; Influence across product life cycle through developing statistically compelling Evidence Generation Plans (EGP) in collaboration with Strategic Development Director, Statistical Innovation, EDL, GDL, GMAL, and Regional Medical Leads; Partner with evidence-related, cross-functional stakeholders to ensure the highest statistical standards and integrity and provide program level statistical support
Requirements: Doctorate in Statistics/Biostatistics and post-graduate statistical experience in the pharmaceutical industry or medical research including phase 3 drug development in metabolic diseases or cardiovascular outcome trials (CVOT); 10+ years of post-graduate statistical experience in the pharmaceutical industry or medical research; Statistical leadership/contribution to regulatory/reimbursement submissions; Life Cycle Drug Development Experience

Duties: Build advanced feature extraction algorithms that feed into various advertising applications, including audience targeting, relevance and ranking, and performance optimization; Build, deploy and monitor machine learning and statistical models to predict or estimate key signals that are used to optimize advertising product performance; Work on ML Automation platforms to support end to end machine learning life cycle using (Mlflow/KubeFlow/MetaFlow); Build, maintain and monitor scalable data pipelines working with distributed computing frameworks (e.g., Hadoop/Spark) and job schedulers (Airflow/Azkaban) to support modeling and optimization products
Requirements: Experience with backend software development, system architecture, and object-oriented design; Experience with one of the following high-level programming languages in production code quality: Python or Java; Experience with big data distributed computing frameworks including Hadoop, MapReduce, and PySpark; Experience with machine learning modeling and data analysis tools including Pandas, SQL, Numpy, Scikitlearn, TensorFlow, PyTorch; Experience developing and implementing machine learning models to solve real-world problems and fit algorithms to specific use cases

Duties: Achieve results through detailed goal setting, accountability measures, effective partnership, performance management, collaboration with other groups and a dedication to serving customers, both inside and outside of CfDA (Center for Design & Analysis); Influence and supply to strategy development, defend statistical approaches and represent GBS (Global Biostatical Science) through participating in and collaborating with multidisciplinary study teams; Provide statistical contributions, statistical review, and quality control of Key Design Elements (KDE) protocols, randomisation specifications, Statistical Analysis Plans (SAPs), Table, Listing and Figure (TLF) shells, Submission Data File (SDF) specifications, other key study related documentation, protocol deviations, Flash Memos, Clinical Study Reports (CSRs), clinical publications, and other communications
Requirements: Degree educated in Statistics/Biostatistics or related subject with high statistical content; Post-graduate statistical experience in the pharmaceutical industry or medical research; Knowledge of SAS, R or other statistical software; Excellent communication skills and ability to work optimally within teams while also possessing the capacity to autonomously manage tasks and projects