Duties: Drive agile best practices to foster a culture of technical excellence, focus on value, and prioritization; Play a leadership role (Technical Lead) in the design, development, testing and delivery of PolySystems modeling capabilities to support domestic Individual Life, Retirement, and Long Term Care businesses, as well as international businesses reinsured to Bermuda; Help define and implement PolySystems best practices across the suite of supported models and businesses; Design and lead testing of solutions and be able to communicate those solutions to a range of audiences; Serve as the lead for conversion of actuarial models to PolySystems by providing recommendations for modeling options, validation of the converted model to ensure accuracy, building end-to-end automation, and explaining the differences to stakeholders and assisting them by providing information they need to perform user acceptance testing
Requirements: 7+ years actuarial experience is required, with at least 3 of those years focused on actuarial modeling. Fellow of the Society of Actuaries designation (FSA) is preferred; Strong quantitative modeling and analytical skills; ability to understand and explain complex quantitative concepts and end-to-end models/systems; Strong verbal and written communication skills; able to explain technical concepts to non-technical audiences

Duties: The Department of Psychiatry at the Rutgers Robert Wood Johnson Medical School ( RWJMS ) has an opening for a full time Academic Psychiatrist. The position is a the Assistant Professor level, commensurate with experience; The Assistant Professor provides direct clinical care to patients in acute psychiatric services for adults, addictions, or children/adolescents at Rutgers University Behavioral Health Care. Functions collaboratively with multidisciplinary teams and maintains effective communication with staff and administration
Requirements: Board Certified/eligible psychiatrist with valid NJ medical license

Duties: Provide independent statistical support to Neurosurgery research projects, demonstrating expertise in biostatistics, statistical analysis software, and relevant clinical research methods. Collaborate with multidisciplinary teams to design and implement statistical models, manage databases, and ensure effective communication of statistical concepts to non-statistical audiences; Critically evaluate statistical analysis plans for clinical trials and epidemiological studies, propose plans, and conduct sample size calculations. Prepare datasets for analysis by cleaning, merging, and reformatting data. Utilize SAS and/or R for statistical data analysis, computation, and programming
Requirements: A PhD in Biostatistics, Statistics, Epidemiology or related field is required, plus a minimum of three (3) years’ work experience in biomedical research in academia, government, or industry

Duties: This 1 year position will support NSF-funded research focusing on the evolutionary genomics of Anolis lizards and Bradypodion dwarf chameleons. Research tasks to include the computational analysis of existing genomic data as well as collection of new data, as necessary
Requirements: PhD in Biology or related field; Demonstrated experience in the generation, analysis, and dissemination of high-quality squamate genome assemblies and gene annotations; Proficiency in R and/or Python, Bash scripting, and familiarity with common computational genomics tools (e.g. bwa, samtools, GATK); Familiarity with SLURM High Performance Computing environments

Duties: Carry out multiphoton optogenetic manipulation and imaging of neural activity in head-fixed rodents; Conduct rodent surgeries, rodent training, computational analyses, and other procedures necessary for the advancement of the project; Participate in the configuration and maintenance of laboratory instrumentation and equipment, including computers, necessary for conduct of the project; Prepare scientific manuscripts for publication, and contribute to the preparation of research grant and fellowship applications; Supervise and guide the research project of an undergraduate research assistant
Requirements: Ph.D. in Neuroscience, Optical Physics/Engineering, Molecular Biology, or a related science is required

Duties: The Rutgers Department of Physics and Astronomy, Laboratory for Surface Modification ( LSM ) invites applications for a postdoctoral Research Associate position in surface/thin film science analysis and materials modification. The emphasis is on the use of ion beams for ion beam microscopy, ion beam analysis and ion induced surface modification
Requirements: PhD in Physics, Materials Science or Materials Chemistry or a related field

Duties: Assists the PI and study staff on all ongoing research that carries out various experimental and bioinformatics studies in cancer research to analyze experiments relative to understanding how genomic instability promotes; tumorigenesis; Aids the study PI with preparing, cleaning, analyzing data, and preparing manuscripts, reports, and presentations; Performs numerous experimental approaches, including single-cell genomics by next-generation sequencing, in situ single-cell analyses of DNA and RNA, and CRISPR gene editing to induce genomic instability and study its consequences on tumor initiation, progression, and therapy response
Requirements: Post-Doctoral Appointee candidate should have a recent Ph.D. degree relevant to biology or molecular biology area

Duties: The Ernest Mario School of Pharmacy at Rutgers, the State University of New Jersey is seeking multiple post-doctoral associates to join the laboratory of Dr Jun Wang within the Department of Medicinal Chemistry on or about September 1, 2022. The successful candidates will participate in NIH-funded research projects in designing and developing small molecule antivirals targeting emerging and re-emerging viruses
Requirements: A Ph.D. in organic chemistry, medicinal chemistry or a similar science field is required

Duties: Research, design, and implement algorithms in Deep Learning for Medical Image Analysis problems; Close collaboration with clinical customers to define, implement and validate clinical prototypes; Advance the state-of-the-art, including generating patents and publications in top journals and conferences; Work on large-scale, real-world problems; Fast prototyping, feasibility studies, specification and implementation of image and video analysis product components; Working on challenging and impactful clinical problems with large-scale data sets
Requirements: Ph.D. in an engineering or science field such as Computer Science, Electrical Engineering, Statistics, or Applied Math; Strong background in Deep Learning and/or Medical Image processing; 4+ years of industry experience or post-doctoral studies in Computer Vision, Machine Learning and Image Understanding preferred

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: The Kiledjian laboratory in the Dept. Cell Biology & Neuroscience at Rutgers University is seeking an outstanding postdoctoral associate to study the regulation of RNA turnover in the control of gene expression. Projects focus on uncovering novel modes of gene regulation directed through newly discovered noncanonical metabolite caps on the the 5´ end of RNAs that link cellular metabolism to RNA metabolism
Requirements: Ph.D. in molecular/cellular biology or a related discipline with good communications skills and a publication track record in peer reviewed journals

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: In collaboration with industry, academia, and governments around the world, we generate and commercialize innovative technical solutions to real world problems. Our research portfolio engages multidisciplinary teams with expertise and skills that range from fundamental algorithms and understanding, to machine learning and statistics, to media analytics and systems, to devices, networks, and sensing. Our mission is to advance the frontiers of knowledge to solve complex problems addressing fundamental societal challenges and creating business value for NEC
Requirements: A PhD in computer science, electrical engineering, networking, optics, machine learning, data science, mathematics or equivalent work experience; A proven track record of collaborative research; Strong written and verbal communication skills

Duties: Subject to availability of funding, the Department will have two openings at the level of Tenure-Track Assistant Professor, with the possibility of appointment at a higher level for exceptional candidates. One of these positions may be named position, the Harold H. Martin chair. The department has identified several priority areas (Algebra & Algebraic Geometry, Computational Applied/Mathematics/Data Science, Discrete Mathematics, Geometry & Topology, Mathematical Analysis, and Number Theory), but outstanding candidates in any area of mathematics may be considered
Requirements: Candidates must have a PhD in mathematics by employment start date and have a strong record of research accomplishments in mathematics as well as effective teaching. Candidate will teach undergraduate and graduate courses in mathematics. The normal teaching load for research-active faculty is 2-1

Duties: Provides comprehensive programming leadership and support to clinical project teams and vendors, including deployment of programming strategies, standards, specifications and programmed analysis to comply with regulatory requirements, SOPs and work practices; Independently develops, validates, troubleshoots, and maintains complex programs and utilities in accordance with predefined specifications and standards; Leads/Supports the electronic submission preparation and review; Develops unambiguous and robust programming specifications (e.g. ADaM specifications)
Requirements: Bachelor’s degree in statistics, biostatistics, mathematics, computer science or life sciences required; At least 7 years programming experience in industry including support of significant regulatory filings; For US positions: US military experience will be considered towards industry experience; Proficient knowledge of drug development process, clinical trial methodology, regulatory guidance, industry standards, statistical concepts, and medical terminology used in the analysis and submission of clinical data

Duties: Represents Biostatistics at Global Clinical Subteams; Interacts with Medical Directors, Clinical Scientists, Regulatory Affairs, Preclinical scientists, Statistical Programming, Data Management, Medical Writing, and others to design and analyze clinical trials, as well as ensure the clinical program is appropriately designed; Guides staff in the preparation of material to be used in regulatory interactions, including drafting analysis plan and reviewing TFLs to be used in regulatory meetings, slides for advisory committee meetings, etc; Identifies the need for new process improvement initiatives, and leads working groups to solve the process gaps. Sets timelines and expectations for the deliverables. Authors new/revised SOPs and contributes to cross-functional EPIC workstreams
Requirements: PhD or equivalent degree in statistics/biostatistics with >8 years’ experience in the pharmaceutical industry, or MS degree in statistics/biostatistics with >13 years’ experience; Knowledge of drug discovery and development and ability to integrate statistical concepts into drug discovery and development strategies

Duties: Lead complex clinical trials or indication corresponding to one or several compounds in development; Represents Biostatistics as a member of cross functional teams, accountable for statistical aspects of statistical design, study setup, execution, analysis and reporting of clinicals; Manage the timelines and oversee the quality of statistical analyses by CRO or internal teams; Undertake new and highly complex issues requiring advanced analytical thought with minimal supervision; Support global submission deliverables as needed including responses to health authority queries, advisory committee meeting preparation, etc; Provide statistical support for the Biometrics Department’s infrastructure needs
Requirements: MS in Statistics/Biostatistics and at least 10 years of relevant pharmaceutical experience or a PhD in Statistics/Biostatistics with more than 6 years of’ relavant pharmaceutical experience; Knowledge of pharmaceutical environment and regulatory requirements; Comprehensive knowledge and understanding of advanced statistical concepts and techniques applicable to Clinical Research

Duties: Lead one or several indications corresponding to one or several compounds in development; Represents Biostatistics as a member of cross functional teams, accountable for statistical aspects of clinical development plans, studies, submission activities and regulatory interactions; Manage the timelines and oversee the quality of statistical analyses by CRO or internal teams; Lead or contribute to statistical innovation activities including innovative design, advanced analytics, data visualization and template development
Requirements: A Ph.D in Statistics or Biostatistics with more than 10 years of pharmaceutical experience; Strong knowledge of pharmaceutical environment and broad experience with multi-phase development; Strong knowledge and in-depth understanding of advanced statistical concepts and techniques applicable to Clinical Research

Duties: Drive regulatory change with our legal, compliance, and government affairs areas to accommodate new product designs which may not have existing or adopted regulatory guidelines; Provide on-going actuarial and regulatory knowledge and creative problem resolution within Product and to business partners across the organization for new and proposed regulations and product designs; Represent Prudential Retirement Strategies in industry calls (ACLI, LICONY, CAI, and IRI), and lead coordination of responses to new and proposed regulations. Support ACLI Product committee member for Prudential; Act as subject matter expert for required actuarial regulatory documents including memorandum, certifications and exhibits as required by state and other regulatory bodies for new product development and in-force product management as part of Annuity Calculation Management
Requirements: Bachelor’s Degree; FSA preferred; Excellent verbal and written communication/presentation skills; 2+ years of experience in assessment of new regulations, working with industry groups; 3+ years of experience with Actuarial Regulatory support for contract filings (actuarial memos, nonforfeiture demonstrations); 5+ years of experience in financial services product support or product management

Duties: Design, build and test model enhancements (refinements, new features, automation, optimization); Develop deep expertise in FlexGuard's (and other annuity products') material results drivers; Work alongside other developers on a small Agile team; Collaborate with other actuarial teams (Valuation, Assumptions, Pricing) and CIO; Continuously upskill in python, understanding of PyVal model, and actuarial concepts and annuities product knowledge
Requirements: Python coding expert, or 2+ years' python coding experience with strong interest in becoming a technical expert; Bachelor's degree in mathematics or related quantitative field; On an actuarial track (actively taking exams towards ASA designation) or is a credentialed actuary; Experience with object-oriented programming and knowledge of basic software engineering concepts

Duties: Drive agile best practices to foster a culture of technical excellence, focus on value, and prioritization; Play a leadership role (Technical Lead) in the design, development, testing and delivery of PolySystems modeling capabilities to support domestic Individual Life, Retirement, and Long Term Care businesses, as well as international businesses reinsured to Bermuda; Help define and implement PolySystems best practices across the suite of supported models and businesses; Design and lead testing of solutions and be able to communicate those solutions to a range of audiences; Serve as the lead for conversion of actuarial models to PolySystems by providing recommendations for modeling options, validation of the converted model to ensure accuracy, building end-to-end automation, and explaining the differences to stakeholders and assisting them by providing information they need to perform user acceptance testing
Requirements: 7+ years actuarial experience is required, with at least 3 of those years focused on actuarial modeling. Fellow of the Society of Actuaries designation (FSA) is preferred; Strong quantitative modeling and analytical skills; ability to understand and explain complex quantitative concepts and end-to-end models/systems; Strong verbal and written communication skills; able to explain technical concepts to non-technical audiences; Creative problem-solver and results-oriented; experience with model/systems conversions is preferred

Duties: The Associate Director of Biostatistics is a member of cross-functional development teams supporting neuroscience therapeutic area, and contributes to trial design, protocol development, analysis, planning, interpretation of results, and preparation of regulatory submissions. With appropriate experience, the Associate Director of Biostatistics can have responsibilities for supporting a particular indication of an asset. These individuals develop collaborative relationships and work effectively with the Biostatistics indication/asset Lead, and other cross functional team members
Requirements: PhD in Biostatistics

Duties: Learning about and understanding our supported businesses in order to drive practical and successful solutions; Implementing AI/ML services and deploying them to the cloud; Designing and implementing data pipelines to facilitate ML training; Refactoring code and writing tests to maintain sufficient code quality metrics; Applying ML techniques, such as data/text mining, document analysis, image/text classification, image processing and OCR; Analyzing and evaluating the ongoing performance of developed models
Requirements: Bachelor’s Degree in Computer Science or related field; 4 years of professional Python experience; 1 year of professional experience with AWS cloud infrastructure; Very strong object-oriented programming and concurrency skills; Strong interest in AI/ML

Duties: Works collaboratively with business partners throughout the Prudential organization to develop and maintain highly automated production process for those partners; Serves as key resource in implementing and validating ALM modeling infrastructure changes in support of Asset Adequacy Testing (AAT), capital, PBR, GAAP assumptions, economic scenarios and other ALM related purposes. This mainly involves development of in-house solutions that are primarily based in Python and SQL; Partners closely with others on the Governance, Technology, and Valuation teams to ensure adherence to appropriate corporate governance, controls, and documentation policies/procedures
Requirements: 3+ years of actuarial, ALM, and/or modeling experience preferably in an insurance company context; Strong technical skills with programming experience in VBA, Python and SQL, (experience in GGY AXIS and C# a plus); Ability to prioritize, plan, and execute across multiple work efforts simultaneously in order to meet competing deadlines for AAT, PBR, and GAAP reporting and drive new solutions; Strong verbal & written communication skills, particularly in explaining technical challenges & writing documentation; Bachelor’s degree in Actuarial Science, Mathematics, Quantitative Finance or a related field; Primary location for position is in the Newark, NJ or Hartford, CT office, but open to remote as well; ASA/FSA or close to FSA preferred