Sas programmer jobs near me

Candidates MUST go on-site at one of the following locations Columbus, OH Cincinnati, OH Cleveland, OH Indianapolis, IN Hagerstown, MD Chicago, IL Detroit, MI Minnetonka, MN Houston, TX Charlotte, NC Akron, OH Experience: · Master's degree and 5+ years of experience related work experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, scripting languages, and packages, experience with big data analysis tools and techniques, and experience building and deploying predictive models, web scraping, and scalable data pipelines · Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling Python, R, or SAS SQL and some sort of lending experience (i.e. HELOC, Mortgage etc) is most important Excellent communication skills If a candidate has cred card experience (i.e. Discover or Bread financial ) THEY ARE A+ fit! Education: Master's degree or PhD in computer science, statistics, economics or related fields Responsibilities: · Prioritizes analytical projects based on business value and technological readiness Performs large-scale experimentation and build data-driven models to answer business questions Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence Evangelizes best practices to analytics and products teams Acts as the go-to resource for machine learning across a range of business needs Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring Provides leadership, coaching, and mentoring to team members and develops the team to work with all areas of the organization Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs Anticipates and analyzes trends in technology while assessing the emerging technology's impact(s) Coaches' individuals through change and serves as a role model Skills: · Up-to-date knowledge of machine learning and data analytics tools and techniques Strong knowledge in predictive modeling methodology Experienced at leveraging both structured and unstructured data sources Willingness and ability to learn new technologies on the job Demonstrated ability to communicate complex results to technical and non-technical audiences Strategic, intellectually curious thinker with focus on outcomes Professional image with the ability to form relationships across functions Ability to train more junior analysts regarding day-to-day activities, as necessary Proven ability to lead cross-functional teams Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker) Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret) Demonstrated Expertise with at least one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (SQL, NoSQL) Financial Services background preferred

*Per the client, No C2C's!* Central Point Partners is currently interviewing candidates in the Columbus, Oh area for a large client. only GC's and USC's. This position is Hybrid (4 Days onsite)! Only candidates who are local to Columbus, Oh will be considered. Data Scientist with Hands On development experience with R, SQL & Python Summary: Our client is seeking a passionate, data-savvy Senior Data Scientist to join the Enterprise Analytics team to fuel our mission of growth through data-driven insights and opportunity discovery. This dynamic role uses a consultative approach with the business segments to dive into our customer, product, channel, and digital data to uncover opportunities for consumer experience optimization and customer value delivery. You will also enable stakeholders with actionable, intuitive performance insights that provide the business with direction for growth. The ideal candidate will have a robust mix of technical and communication skills, with a passion for optimization, data storytelling, and data visualization. You will collaborate with a centralized team of data scientists as well as teams across the organization including Product, Marketing, Data, Finance, and senior leadership. This is an exciting opportunity to be a key influencer to the company's strategic decisions and to learn and grow with our Analytics team. Notes from the manager The skills that will be critical will be Python or R and a firm understanding of SQL along with foundationally understanding what data is needed to perform studies now and in the future. For a high-level summary that should help describe what this person will be asked to do alongside their peers: I would say this person will balance analysis with development, knowing when to jump in and knowing when to step back to lend their expertise. Feature & Functional Design Data scientists are embedded in the team's designing the feature. Their main job here is to define the data tracking needed to evaluate the business case-things like event logging, Adobe tagging, third-party data ingestion, and any other tracking requirements. They are also meant to consult and outline if/when business should be bringing data into the bank and will help connect business with CDAO and IT warehousing and data engineering partners should new data need to be brought forward. Feature Engineering & Development The same data scientists stay involved as the feature moves into execution. They support all necessary functions (Amigo, QA, etc.) to ensure data tracking is in place when the feature goes live. They also begin preparing to support launch evaluation and measurement against experimentation design or business case success criteria. Feature Rollout & Performance Evaluation Owns tracking the rollout, running A/B tests, and conducting impact analysis for all features that they have been involved in the Feature & Functional Design and Feature Engineering & Development stages. They provide an unbiased view of how the feature performs against the original business case along with making objective recommendations that will provide direction for business. They will roll off once the feature has matured through business case/experiment design and evaluation. In addition to supporting feature rollouts… Data scientists on the team are also encouraged to pursue self-driven initiatives during periods when they are not actively supporting other projects. These initiatives may include designing experiments, conducting exploratory analyses, developing predictive models, or identifying new opportunities for impact. For more information about this opportunity, please contact Bill Hart at ************ AND email your resume to **********************************!

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity As a Data Scientist II for Fraud, you will be responsible the development of machine learning models that improve USAA's ability to detect and prevent fraud on credit card, debit card, check, deposit, digital payments, as well as in other areas such as claims and disputes. Strong candidates will be able to deploy the following work products and processes: Develop and continuously update internal fraud models in the transactions and payment space, demonstrating techniques ranging from statistics to highly sophisticated AI/ML techniques, to generate highly significant reduction in fraud losses and improvement in Member experience Work with Strategies and Model Management teams to understand and plan model needs Drives continuous innovation in modeling efforts Collaborate with the broader analytics community to share standard methodologies and techniques We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. This position can work remotely in the continental U.S. with occasional business travel. What you'll do: Captures, interprets, and manipulates structured and unstructured data to enable analytical solutions for the business. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes technical documents for knowledge persistence, risk management, and technical review audiences. Consults with peers for mentorship, as needed. Translates business request(s) into specific analytical questions, completing the analysis and/or modeling, and presenting outcomes to non-technical business colleagues. Consults with Data Engineering, IT, the business, and other internal partners to deploy analytical solutions that are aligned with the customer's vision and specifications and consistent with modeling best practices and model risk management standards. Seeks opportunities and materials to learn new techniques, technologies, and methodologies. Ensures risks associated with business activities are optimally identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 2 years of experience in predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field Experience in training and validating statistical, physical, machine learning, and other sophisticated analytics models. Experience in one or more multifaceted scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Ability to write code that is easy to follow, well detailed, and commented where vital to explain logic (high code transparency). Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Familiarity with performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Ability to communicate analytical and modeling results to non-technical business partners. What sets you apart: US military experience through military service or a military spouse/domestic partner Graduate degree in a quantitative subject area Experience in fraud/financial crimes model development Compensation range: The salary range for this position is: $93,770 - $168,790. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

As a Principal Data Scientist, you will lead the strategic application of Generative AI across the bank, leveraging Large Language Models (LLMs) to drive innovation, improve operational efficiency, and enhance customer and employee experiences. This role requires deep expertise in NLP, hands-on experience with Generative AI tools, and the ability to guide teams in responsibly integrating these technologies into business processes. Key Responsibilities Lead the design and implementation of solutions using LLMs and Generative AI tools for complex workflows and processes. Partner with business, risk, compliance, and technology teams to identify high-impact use cases and ensure responsible AI deployment. Guide data preparation efforts, including sourcing, cleaning, and structuring data for LLM input and evaluation. Evaluate model performance, conduct error analysis, and iterate on prompt engineering and fine-tuning strategies where applicable. Stay ahead of emerging trends in Generative AI and NLP, and assess their relevance to banking applications. Mentor junior data scientists and contribute to the development of best practices for AI adoption across the organization. Communicate technical concepts and findings clearly to executive stakeholders, regulators, and cross-functional teams. Qualifications Required: 7+ years of experience in data science, machine learning, or applied AI. Proven experience applying Generative AI and LLMs in production or pilot environments. Strong proficiency in Python and experience with NLP libraries and frameworks (e.g., LangChain, Autogen, Strands, etc.). Deep understanding of NLP techniques and their practical applications. Experience working with unstructured data and integrating AI solutions into business workflows. Strong communication and leadership skills, including technical writing and stakeholder engagement. Preferred: Experience with prompt engineering, model evaluation, and LLM orchestration. Familiarity with cloud platforms and MLOps tools. Experience interacting with model validation teams and regulators. Education Required: Master's or Ph.D. in Computer Science, Mathematics, Statistics, or a related field. Hours & Work Schedule Hours per Week: 40 Work Schedule: Monday - Friday Hybrid: 4 days on site at a Citizens Corporate Office, 1 day remote #LI-Citizens1 Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance. Equal Employment Opportunity Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability. Why Work for UsAt Citizens, you'll find a customer-centric culture built around helping our customers and giving back to our local communities. When you join our team, you are part of a supportive and collaborative workforce, with access to training and tools to accelerate your potential and maximize your career growth Background Check Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.

Role and Responsibilities The SAS EDI Developer will be responsible for designing, developing, and maintaining electronic data interchange (EDI) solutions that connect Liviniti systems with vendors, clients, and brokers. The developer will focus on the technical implementation of EDI solutions, ensuring the smooth integration and flow of data between internal systems and external partners. This includes the development, configuration, and troubleshooting of file transfers and data exchanges to support business functions. The SAS EDI Developer is expected to perform these and additional duties and responsibilities professionally and efficiently, contributing to the overall success of Liviniti: Develop, implement, and maintain SAS-based EDI solutions to integrate various trading partners, ensuring secure, efficient, and error-free data exchange. Analyze and map data between internal and external systems, ensuring accurate and seamless data integration using SAS programming. Develop EDI file formats and layout specifications, including fixed width, delimited, XML, and proprietary formats leveraging SAS programming. Collaborate with the EDI team and other departments to ensure business requirements are captured and translated into technical specifications. Troubleshoot and resolve EDI file transfer issues, providing detailed technical analysis and debugging support. Manage the configuration of communication protocols such as FTP, SFTP, AS2, and WebDAV. Assist in the onboarding of new trading partners, including setup, testing, and certification of new EDI transactions. Ensure all EDI processes and solutions meet security standards and comply with relevant privacy laws, including HIPAA. Work with cross-functional teams to identify opportunities for process improvement and optimization of EDI workflows. Provide ongoing support and maintenance for EDI transactions, ensuring system uptime and data accuracy. Ensure documentation of EDI processes, transactions, and solutions is kept up to date for auditing and internal review purposes. Abides by all obligations under HIPAA related to Protected Health Information (PHI). If a HIPAA violation is discovered, whether individually or by another, you must report the violation to the Compliance Officer and/or Human Resources. Attends, completes and demonstrates competency in all required HIPAA Training offered by the company. Flexibility to understand, appreciate, and embrace that this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee. Duties, obligations, and activities may change, or new ones may be assigned at any time with or without notice. What We Have to Offer Our benefits are designed to keep our employees happy - physically, mentally and financially. Medical, Dental, Vision Insurance Disability and Life Insurance Employee Assistance Program Remote Work Options Generous Paid-Time Off Annual Reviews and Development Plans Retirement Plan with Company Match Immediately 100% Vested Required Skills and Competencies 5+ years' experience in coding languages SAS & SQL, particularly in the context of file manipulation, data transformation, data validation, and automation. Knowledge of communication protocols including FTP, SFTP, AS2, and WebDAV. Strong analytical and problem-solving skills with the ability to troubleshoot and resolve complex data issues. Detail-oriented with the ability to manage multiple tasks and projects with competing deadlines. Excellent written and verbal communication skills to collaborate with both technical and non-technical stakeholders. Ability to work independently and as part of a collaborative team in a remote environment. Supervisory Responsibility There are no supervisory responsibilities for this role. Position Type and Expected Hours of Work Full-time/Salaried/Exempt. Some flexibility in hours is allowed, but the employee must be available during the “core” work hours of 8:00 AM to 5:00 PM CT. We cover clients from the West to the East Coast, work times must be adjusted to cover meetings in all time zones. Ability to work extended hours, weekends, and holidays pursuant to industry demands. Travel This position has minimal travel expectations. Required Education and Experience Bachelor's degree in computer science, Information Systems, or a related technical field, or equivalent experience. Minimum of 5 years of experience in SAS and SQL development, integration, and maintenance. Knowledge of PBM claims adjudication processes. Experience in the healthcare or pharmacy benefits industry. Familiarity with HIPAA regulations and other relevant data privacy standards. Liviniti, LLC provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Liviniti, LLC complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Liviniti, LLC expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Liviniti, LLC employees to perform their job duties may result in discipline up to and including discharge. EOE M/F/D/V

Role and Responsibilities The SAS EDI Developer will be responsible for designing, developing, and maintaining electronic data interchange (EDI) solutions that connect Liviniti systems with vendors, clients, and brokers. The developer will focus on the technical implementation of EDI solutions, ensuring the smooth integration and flow of data between internal systems and external partners. This includes the development, configuration, and troubleshooting of file transfers and data exchanges to support business functions. The SAS EDI Developer is expected to perform these and additional duties and responsibilities professionally and efficiently, contributing to the overall success of Liviniti: Develop, implement, and maintain SAS-based EDI solutions to integrate various trading partners, ensuring secure, efficient, and error-free data exchange. Analyze and map data between internal and external systems, ensuring accurate and seamless data integration using SAS programming. Develop EDI file formats and layout specifications, including fixed width, delimited, XML, and proprietary formats leveraging SAS programming. Collaborate with the EDI team and other departments to ensure business requirements are captured and translated into technical specifications. Troubleshoot and resolve EDI file transfer issues, providing detailed technical analysis and debugging support. Manage the configuration of communication protocols such as FTP, SFTP, AS2, and WebDAV. Assist in the onboarding of new trading partners, including setup, testing, and certification of new EDI transactions. Ensure all EDI processes and solutions meet security standards and comply with relevant privacy laws, including HIPAA. Work with cross-functional teams to identify opportunities for process improvement and optimization of EDI workflows. Provide ongoing support and maintenance for EDI transactions, ensuring system uptime and data accuracy. Ensure documentation of EDI processes, transactions, and solutions is kept up to date for auditing and internal review purposes. Abides by all obligations under HIPAA related to Protected Health Information (PHI). If a HIPAA violation is discovered, whether individually or by another, you must report the violation to the Compliance Officer and/or Human Resources. Attends, completes and demonstrates competency in all required HIPAA Training offered by the company. Flexibility to understand, appreciate, and embrace that this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee. Duties, obligations, and activities may change, or new ones may be assigned at any time with or without notice. What We Have to Offer Our benefits are designed to keep our employees happy - physically, mentally and financially. Medical, Dental, Vision Insurance Disability and Life Insurance Employee Assistance Program Remote Work Options Generous Paid-Time Off Annual Reviews and Development Plans Retirement Plan with Company Match Immediately 100% Vested Required Skills and Competencies 5+ years' experience in coding languages SAS & SQL, particularly in the context of file manipulation, data transformation, data validation, and automation. Knowledge of communication protocols including FTP, SFTP, AS2, and WebDAV. Strong analytical and problem-solving skills with the ability to troubleshoot and resolve complex data issues. Detail-oriented with the ability to manage multiple tasks and projects with competing deadlines. Excellent written and verbal communication skills to collaborate with both technical and non-technical stakeholders. Ability to work independently and as part of a collaborative team in a remote environment. Supervisory Responsibility There are no supervisory responsibilities for this role. Position Type and Expected Hours of Work Full-time/Salaried/Exempt. Some flexibility in hours is allowed, but the employee must be available during the “core” work hours of 8:00 AM to 5:00 PM CT. We cover clients from the West to the East Coast, work times must be adjusted to cover meetings in all time zones. Ability to work extended hours, weekends, and holidays pursuant to industry demands. Travel This position has minimal travel expectations. Required Education and Experience Bachelor's degree in computer science, Information Systems, or a related technical field, or equivalent experience. Minimum of 5 years of experience in SAS and SQL development, integration, and maintenance. Knowledge of PBM claims adjudication processes. Experience in the healthcare or pharmacy benefits industry. Familiarity with HIPAA regulations and other relevant data privacy standards. Liviniti, LLC provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Liviniti, LLC complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Liviniti, LLC expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Liviniti, LLC employees to perform their job duties may result in discipline up to and including discharge. EOE M/F/D/V

**General Information** **Organization:** ACI Clinical **Job Type:** Full Time - Regular **Description and Requirements** EMPLOYER: WCG Clinical, Inc. TITLE: Principal Statistical Programmer - WCG Clinical, Inc. DUTIES: Conduct and lead biostatistical analysis projects to analyze and interpret statistical data for our clients' clinical study research for potential new medicines. Develop approaches to improve statistical programming efficiency and product quality. Analyze statistical data including writing code using SAS or other statistical software/tools and write detailed analysis plans and descriptions of analyses and findings for research protocols or reports. Calculate sample sizes for clinical studies with standard designs and prepare randomization lists, as well as programing analysis datasets. Develop and audit statistical macros and serve as programming lead on multiple study projects, including coordinating programming deliverables and interfacing with internal study team and clients, as appropriate. Lead the development and documentation of analysis/clinical data set specifications, safety and efficacy analysis programming, as well as any ad-hoc programming requests. Perform quality assurance procedures on work performed by others and implement and follow the latest versions of CDISC, FDA guidelines, Good Clinical Practice, and other industry standards. Mentor and oversee the statistical programming tasks by more junior staff and lead SAS training sessions for new employees. Present the statistical results of clinical trials to senior management and clients. Position is eligible for 100% remote work. LOCATION: 5000 Centregreen Way, Suite 200, Cary, NC 27513 SALARY RANGE: $124,800 to $174,800 REQUIREMENTS: Must have a Bachelors (or foreign equivalent) degree in Computer Engineering, Statistics, or related field and 5 years of post-baccalaureate statistical analysis experience, including 5 years in the following: 1) SAS programming and auditing experience in a clinical trial setting and with regulatory conventions, including CDISC; 2) Carrying out multiple projects simultaneously; and 3) Implementing SAS programs using statistical procedures. Position is eligible for 100% remote work. \#LI-DNI **WCG is proud to be an equal opportunity employer** - Qualified applicants will receive consideration for employment based on merit and without regard to race, color, national origin or ancestry, religion or creed, sex, sexual orientation, gender expression, gender identity, age, marital status, family or parental status, disability, genetic information, citizenship, veteran status, or any other legally recognized basis or status protected by federal, state, or local law. WCG complies with the Vietnam Era Veterans' Readjustment Act and Section 503 of the Rehabilitation Act. We promote a "One WCG" culture where all are welcome, respected, valued, and empowered to make a difference every day to advance clinical research.

Everest Clinical Research (“Everest”) is a full-service contract research organization (CRO) providing a broad range of expertise-based clinical research services to worldwide pharmaceutical, biotechnology, and medical device industries. We serve some of the best-known companies and work with many of the most advanced drugs, biologics, and medical devices in development today. Everest has been an independent CRO since 2004 with a strong foundation as a statistical and data management center of excellence. Building on this foundation, Everest has successfully developed and established itself as a full-service CRO. Everest's headquarters are located in Markham (Greater Toronto Area), Ontario, Canada with additional sites in Bridgewater, New Jersey, USA, Taipei, Taiwan, and Shanghai (Pudong Zhangjiang New District), China. Everest is known in the industry for its high quality deliverables, superior customer service, and flexibility in meeting clients' needs. A dynamic organization with an entrepreneurial origin, Everest continues to experience exceptional growth and great success. Quality is our backbone, customer-focus is our tradition, flexibility is our strength…that's us…that's Everest. To drive continued success in this exciting clinical research field, we are seeking committed, skilled, and customer-focused individuals to join our winning team as Principal Statistical Programmer for our Bridgewater, New Jersey, USA on-site location, or remotely from a home-based office anywhere in the USA in accordance with our Work from Home policy. Key Accountabilities: Lead projects with higher level of complexity/challenges/difficulties. Lead efforts to resolve complex statistical programming issues or problems. Perform a leadership role in statistical programming projects by coordinating study team(s), overseeing timelines, assigning and following up on programming tasks, interacting with clients, and ensuring quality of programming deliverables. Assist statistical programming management in properly planning and allocating resources based on timelines, statistical programmers' skills and expertise, as well as availability. Participate in developing and maintaining clinical trial data and statistical programming standards to ensure the company standards are up to date and in line with pharmaceutical industry standards, conventions, and regulatory requirements. Perform hands on primary statistical programming and validation programming on assigned projects including but not limited to phase I - IV clinical trials, integrated clinical summaries, responses to requests from regulatory agencies, publication support, data explorations, data monitoring committee meetings, etc. Create SDTM mapping specifications and ADaM data specifications. Perform quality control (QC) review of these documents prepared by others. Create SDTM and ADaM define.xml files. Perform QC review of these files prepared by others. Perform 3rd level QC review on programming deliverables before their release to the clients. Perform QC review/assessment on regulatory submission programming documents, datasets, tables/listings/graphs (TLGs), and computer programs, etc. May lead programming efforts for drug development programs or for assigned client clusters. Provide training, mentorship, and technical guidance to less experienced Statistical Programmers or Biostatisticians who perform statistical programming. Monitor the compliance and adherence to the established data and programming standards, and statistical programming governing documents. May represent the company in interactions with clinical trial sponsors with regard to statistical programming projects and relevant businesses. Participate in the development of statistical programming policies, SOPs, guidelines, and good working practices. Participate in statistical programming project bidding or bid defense meetings. Work with document management specialists/archivists to plan and perform archival of the statistical programming datasets, outputs, documents, and final programs upon the completion of the assigned projects. Perform transfer of the archived files to the clinical trial sponsors. Qualifications and Experience: M.Sc., M.A. or higher degree in Statistics, Biostatistics, Computer Science, or relevant fields. 10 (M.Sc., M.A.)/9 (Ph.D.) years' related experience. An in-depth knowledge of clinical trial data processing and manipulation, hands on statistical programming and analysis, requirements for assembling and presenting trial results to regulatory agencies. Knowledge of industry standards on how clinical trial data are structured, stored, analyzed, and presented. Knowledge of clinical trial regulatory and ICH requirements. Must demonstrate ability to effectively plan, control, and carry on tasks in SAS programming, statistical analysis, and submission of trial data and results to regulatory agencies. Must possess in-depth level understanding of the concept of standardization in data, programming, and statistical reporting of trial results, and its implication to the relevant functions and operations. Must have sound technical judgment and experience in process design and implementation in relevant areas. Strong leadership and drive to achieve goals will be required. To find out more about Everest Clinical Research and to review other opportunities, please visit our website at **************** Estimated Salary Range: $125,000 - $155,000. We thank all interested applicants, however, only those selected for an interview will be contacted. Everest is committed to upholding the principles of dignity, independence, integration, and equal opportunity. We welcome and encourage applications from people with disabilities, and upon request we will provide accommodations for candidates participating in any part of our recruitment and selection process. #INDHP

Remote Principal Statistical Programmer needs 10 years Pharmaceutical/Biotech programming experience including macro/tools development experience. Remote Principal Statistical Programmer requires: Minimum 10 years Pharmaceutical/Biotech programming experience including macro/tools development experience. FDA submission experience is highly desirable. Strong SAS programming and Statistical background with strong skills in SAS Base, SAS/Macros, SAS/Graph and SAS/Stat. Ability to use professional concepts to achieve objectives in creative and effective ways. Experienced in managing multiple projects. Solid knowledge of SAS Programming language, Software Development Life Cycle and CDISC standards (SDTM & ADaM). Solid knowledge of other software such as SpotFire, R Shiny etc. is a plus. BS/MS in Statistics, Math or Scientific Discipline. Remote Principal Statistical Programmer duties: Lead on clinical studies and integrated analyses and provide guidance and training to other lower level personnel. Develop or evaluate software tools, SAS macros, utilities to automate programming activities and support Biometrics team collaboration. Contribute and implement to statistical analysis plans; provide additional expertise in the analysis of clinical trial when it relates to protocol development, case report form design and data collection. Review Data Management Plan, Data Transfer Plan, Data Validation Plan and Edit Check Specifications and provide comments. Work closely with Biostatistics to create analysis specifications following the instructions provided in Statistical Analysis Plan (SAP). Create CDISC SDTM and ADaM files, SAS export files, Define.xml and Reviewer's Guide for Electronic Submission.

Job Details Main Corporate Office - Malvern, PADescription Job purpose The Statistical Programmer is a key member of Ocugen's clinical operations team. This individual will be responsible for providing statistical programming services including development of macros, creation of analytical datasets from raw data, and implementation of advanced statistical methods. The individual should be able to ensure generation of accurate and reproducible results through error-free statistical programming in SAS, R and other programming languages. This individual will work closely with the Head of Biometrics and Head of Clinical Operations, the rest of the team at Ocugen, and CROs to execute the statistical and data needs of the clinical studies. Duties and responsibilities Ensures the accurate programming of data extracts and data displays Develops Macro repository for creation of datasets, conducting analyses, and formatting results into TFLs Develops programming specifications, including analysis datasets and tables/listings/figures Extracts, imports and formats raw datasets from EDC and other sources into SAS Creates CDISC compliant datasets, including SDTM, CDASH, ADaM, and SEND with corresponding documentation, including Define-XML Creates TFLs for CSRs, Manuscripts, and additional reports Provides input on CRFs, EDC, IRT, SAPs and develops corresponding mock-ups of data displays Implements experimental statistical methodology into programming languages Ensures high quality reproduce-able data and statistical results in a timely manner Interface with CRO ensuring data and statistical reporting is secure and timely Participate in study and department meetings May assist in developing policies and procedures (SOPs) Additional tasks and projects as requested Qualifications Minimum MS/MA degree in Biostatistics, Statistics, Computer Science, or a related field At least 5 years of experience working as a Statistical Programmer or Data Scientist Ability to synthesize results in graphic, oral, and written reports Exceptionally strong statistical programming in SAS and R Experience programming in other languages, such as SQL, Matlab, Python Experience creating macros and implementing advanced statistical techniques Strong knowledge of GCPs, ICH, FDA, and CDISC regulatory requirements governing clinical studies Experience working with raw data extracts and EDC systems Demonstrated attention to detail and outstanding organization skills Self-motivated with a commitment to high quality, on-time deliverables Working conditions This position operates in an office setting, in person. Remote work will be limited. Job may additionally require incumbent to be available outside of these hours to handle priority business needs. Ocugen is an equal opportunity employer. In order to provide equal employment and advancement opportunities to all individuals, we make all of our employment decisions based upon merit, qualifications, abilities, and an individual's conduct and performance. We will not make any of our decisions, and will not discriminate against any employee or applicant, on the basis of race, color, religion, creed, national origin or ancestry, ethnicity, sex (including pregnancy), gender (including sexual orientation, gender identity and status as a transgender or transsexual individual), age, physical or mental disability, citizenship, past, current or prospective service in the uniformed services, genetic information, or any other characteristic protected from discrimination under the law. Ocugen complies with applicable federal, state and local laws governing nondiscrimination in employment.

Artech is the 10th Largest IT Staffing Company in the US, according to Staffing Industry Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients' immediate skill-sets availability, deliver emerging technology skill-sets, refresh existing skill base, allow for flexibility in project planning and execution phases, and provide budgeting/financial flexibility by offering contingent labor as a variable cost. Job Description Candidate to provide statistical programming support and validation and help set specifications of analysis datasets, pooled datasets, statistical tables, summaries, figures and listing for Phase II-IV clinical trials. Employ standardized programs where applicable. Provide input into planning documents such as protocol, validation plan, and report analysis plan. Provide outputs for clinical study reports, integrated summaries and electronic submissions. Help respond to health authority inquiries for submitted dossiers. Establish and maintain sound working relationship and effective communications within biostatistics and statistical reporting and clinical research. Skills: Min 2-3 years of programming experience in HARP, the GSK programming environment is required. At least 8 years work experience in a Statistical (SAS) programming role preferably supporting clinical trials or in the pharmaceutical industry (5 years for Masters in Mathematics, Statistics/Computer Science or health science graduates). Advanced knowledge of / experience with SAS and other relevant programming software. Proven experience in development of advanced MACROs with high programming efficiency; strong programming and problem-solving skills. Proven experience in leading programmer support for multiple clinical trials and submission activities (or equivalent). Expertise in programming according to specifications of analysis datasets, pooled datasets, listings, tables and figures for clinical trials and submission activities. Working knowledge of database design/structures and basic statistics. Working experience in pooling analysis datasets across multiple clinical studies (or equivalent). Good understanding of global clinical trial/project practices, procedures, methodologies. Good understanding of regulatory requirements relevant to statistical programming (e.g. GCP, ICH). Oncology experience preferred Strong expertise in CDISC on the submission bucket including CRT programming will be a definite plus. Intermediate knowledge of office tools Fluent English (oral and written) Excellent in people interaction and be a collaborative team player. Qualifications Must have a BA/BS or equivalent experience in computer science, mathematics, statistics, life sciences, or related field(s). Additional Information Regards, Akriti Gupta Associate Recruiter(Scientific & Clinical Division) Artech Information Systems LLC 360 Mt. Kemble Avenue, Suite 2000 | Morristown, NJ 07960 Office: ************ | Fax: ************ Connect with us on - LinkedIn | Facebook | Twitter

NV5 is a provider of engineering and consulting services to public and private sector clients, delivering solutions through six business verticals: Testing, Inspection & Consulting; Infrastructure; Utility Services; Environmental Health Sciences; Buildings & Program Management; and Geospatial Technology. With offices nationwide and abroad, NV5 helps clients plan, design, build, test, certify, and operate projects that improve the communities where we live and work. As engineers, architects, construction/program managers, environmental professionals and beyond, we play a significant role in shaping our communities through the services we provide. We are looking for passionate, driven individuals to join our team focused on Delivering Solutions and Improving Lives. Whether you call it “radiation safety,” “radiation protection” or “rad con,” we are internationally recognized experts in the niche technical field of health physics and have supported thousands of ionizing and non-ionizing radiation-related projects since 1994. NV5 has the expertise and experience to quickly understand your issues, develop practical approaches, and implement cost-effective solutions. Federal agencies, government contractors, commercial customers, and academic and professional organizations rely on NV5 for a wide range of needs, and we lend our expertise however and wherever it is needed. We are seeking a Statistician/Health Physicist for our dynamic team. In this role, you will work closely with your team to provide statistical and historical data on radiation and radioactive materials to both technical and non-technical stakeholders. Please note: This role is remote and requires the selected candidate to be a U.S. citizen. Responsibilities Provide support to a group of health physicists and statisticians who are reconstructing historical exposures of workers to radiation and radioactive materials in the workplace Analysis of environmental and occupational radiation exposure data Analysis of left-censored data Data mining from historical exposure records Qualifications Master's degree in statistics (or related field) or Bachelor's degree in statistics (or related field) 3 years of experience Ability to think critically and problem solve Ability to communicate (written and verbal) technical concepts clearly and effectively with statisticians and non-statisticians Programming experience (R preferred) Please be aware that some of our positions may require the ability to obtain a D.O.E. credential that may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. DESIRED SKILLS Experience in health physics and/or environmental monitoring Experience with U.S. Department of Energy (DOE), U.S. Atomic Energy Commission (AEC), and U.S. Energy Research and Development Administration (ERDA) records systems. Knowledge of internal and external radiation exposure monitoring The pay range for this position is $80,000 to $110,000 per year. Base pay offered may be higher or lower depending on job-related knowledge, skills, experience, and location of the candidate. Restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. All local employment laws apply. Base pay information is based on market location. Applicants should apply via the NV5 careers site. NV5 offers a competitive compensation and benefits package including medical, dental, life insurance, PTO, 401(k) and professional development/advancement opportunities. NV5 provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. NV5 complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. #INDHP

Clinical Research Biostatistician I (Hybrid) - (25000ARR) Description A Brief OverviewUnder the direction and guidance of senior biostatisticians, perform intermediate level statistical analysis at all phases of a research project, from protocol development and study design through data analysis and writing up and reporting results. What You Will DoEvaluate research studies, recommend statistical procedures, and prepare statistical plans with direction and guidance of senior biostatisticians including, but not limited to, hypothesis tests, regression models, meta-analysis and survival analysis to analyze the data. Prepare comprehensive statistical reports to communicate findings with investigators. Prepare statistical components of presentations, abstracts, study protocols, and manuscripts. Describe statistical methods and results to fellow biostatisticians/methodologists as well as to broader audiences with less statistical expertise such as research faculty and staff. Programming functional code for data analysis using SPSS, SAS, R, SQL, or Python. Additional ResponsibilitiesPerforms other duties as assigned. Complies with all policies and standards. For specific duties and responsibilities, refer to documentation provided by the department during orientation. Must abide by all requirements to safely and securely maintain Protected Health Information (PHI) for our patients. Annual training, the UH Code of Conduct and UH policies and procedures are in place to address appropriate use of PHI in the workplace. Qualifications EducationBachelor's Degree (Required) Work Experience2+ years research and statistical analysis (Required) Knowledge, Skills, & Abilities Ability to prioritize the work of multiple projects. Experience in a team setting. (Preferred proficiency) Knowledge of GCP and FDA guidelines. Demonstrate ability to multi-task and manage time effectively. Ability to understand and communicate statistical analyses and results to others. Computer and programming skills: Word, Excel, and a statistical programming language such as SPSS, SAS, R, Python or SQL Physical DemandsStanding Occasionally Walking Occasionally Sitting Constantly Lifting Rarely 20 lbs Carrying Rarely 20 lbs Pushing Rarely 20 lbs Pulling Rarely 20 lbs Climbing Rarely 20 lbs Balancing Rarely Stooping Rarely Kneeling Rarely Crouching Rarely Crawling Rarely Reaching Rarely Handling Occasionally Grasping Occasionally Feeling Rarely Talking Constantly Hearing Constantly Repetitive Motions Frequently Eye/Hand/Foot Coordination Frequently Travel Requirements0% Primary Location: United States-Ohio-ClevelandWork Locations: 11100 Euclid Avenue 11100 Euclid Avenue Cleveland 44106Job: ResearchOrganization: Clinical_Research_Center_UHCSchedule: Full-time Employee Status: Regular - ShiftDaysJob Type: StandardJob Level: ProfessionalTravel: NoRemote Work: HybridJob Posting: Dec 15, 2025, 6:58:16 PM

All JerseySTEM roles are pro-bono (unpaid) positions. JerseySTEM is a mission-driven professional network of pro-bono contributors dedicated to improving access to STEM education and career pathways for underserved middle school girls in New Jersey. Members contribute their professional skills and leverage their networks in service of the organization's gender-equity agenda. Membership is a minimum six-month commitment of approximately six flexible hours per week and includes a $100 refundable deposit, returned after six months of active membership. K-12 educators, retirees, veterans, interns, and students are exempt from the deposit. Overview This is a pro-bono volunteer position. JerseySTEM is looking for talented professionals across our departments to commit time and energy as long-term engagement for our mission to provide STEM education to underrepresented middle school girls. The Staff Analytics Team Lead will lead and manage the team, analyze data, and generate insights to optimize staff performance and workforce planning and enhance organizational efficiency through data-driven decision-making. Responsibilities Lead and manage the Staff Analytics team, providing direction, guidance, and support in data analysis and reporting. Collaborate with HR and other departments to identify key metrics and data requirements for workforce planning and decision-making. Design and implement data collection processes and systems to ensure accurate and reliable data. Analyze and interpret data to generate insights and recommendations for improving staff performance and organizational efficiency. Prepare and present reports and dashboards to senior management and stakeholders. Stay up-to-date with industry trends and best practices in data analytics and workforce management. Qualifications Bachelor's or Master's degree in Data Science, Statistics, Business Analytics, or a related field. Proven experience in data analytics and reporting, preferably in a leadership role. Strong analytical and problem-solving skills, with the ability to interpret complex data sets. Proficiency in data analysis tools and software such as Excel, SQL, Python, or R. Excellent communication and presentation skills. Leadership and team management abilities. Detail-oriented and able to handle multiple projects simultaneously. Data-driven mindset with a focus on delivering actionable insights.

PlanetScale is growing rapidly and reinventing the transactional database market. The PlanetScale platform offers both Postgres and Vitess clusters. Vitess, an open-source database clustering system for horizontal scaling of MySQL, enables businesses to efficiently handle large-scale data workloads - without sacrificing developer experience. PlanetScale is backed with over $100M in venture financing from top-tier VCs including a16z, Kleiner Perkins, SignalFire, and Insight Venture Partners. And we serve some of the most innovative companies in the world such as Block, Anysphere (Cursor), MyFitnessPal, Etsy, Kick, and thousands more. Our customers entrust us with what is often their most precious digital asset, their data, so the stakes couldn't be higher. We're looking for a leader to build and lead PlanetScale's Data Science function to support best in class analytics, forecasting, and decision-making. What's the job to be done? Build and be responsible for PlanetScale's data and analytics efforts from zero to one, and play a leading role in shaping decision making through data. You will be the key lynchpin connecting the business with data to inform how we are executing against our company goals and where to direct our resources. Your scope will be broad and cover at least the following: GTM Analytics: Partner with Marketing, Sales, and Customer Engineering to deliver pipeline, conversion, and ROI analytics; build forecasting for new business and retention, attribution, CAC/payback reporting. Product Analytics: Drive analysis of feature adoption, engagement, and retention indicators. Paint a picture of our customers' health in general and across key areas of the product. Take ownership for implementing experimentation and testing to understand the success or failures of growth and product efforts. Analytics Engineering: Own our data warehouse and metric layer using your tools of choice. What you will need Fluency in SQL and analytical modeling: Expert at pulling, joining, and transforming data from complex schemas; able to define and maintain core business metrics (ARR, retention, funnel conversion) with precision. Hands-on experience building dashboards and analyses: Comfortable creating KPI dashboards in modern data analysis tools and running ad-hoc SQL analyses to drive product and business decisions. Proficiency with dbt or modern transformation frameworks: Capable of designing modular, testable models and documenting data logic for reusability. Analytical and statistical breadth: Skilled in experimentation (A/B testing, lift measurement), cohort and retention analysis, forecasting (Prophet, ARIMA), predictive modeling (e.g., lead scoring, churn prediction), and casual models. Python: Confident using Python notebooks for analysis, data cleaning, and lightweight modeling; familiarity with pandas, scikit-learn, or equivalent libraries. Working knowledge of data pipelines and orchestration: Can contribute to or extend ETL/ELT jobs in Airflow or Dagster; understands ingestion from SaaS and event sources. Bias for action and autonomy: Operates comfortably in a startup environment, prioritizing impact over perfection. Ability to collaborate across all functions: Excellent communication with everyone from execs to engineers; covering everything from schema design to collaborating on KPIs, experiments, and insights. Awareness of warehouse performance and governance (nice to have) - Familiar with optimizing BigQuery or Snowflake queries, managing spend, and monitoring data quality and lineage Why PlanetScale PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America. At PlanetScale we believe in supporting people to do their best work and thrive no matter the location. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status. If you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!

9th Way Insignia is a service-disabled, veteran-owned small business bringing transformative technology to our government customers so they can achieve their missions. Our specialties include cybersecurity, cloud modernization, software development, data analytics, enterprise architecture, enterprise IT, analytics, process automation, and artificial intelligence. Learn more about 9th Way Insignia at **************************** Application password: Niner 9 th Way Insignia provides business intelligence and analytics solutions to meet a range of needs from basic data integration, business analytics, and intuitive graphical analyses, to AI and machine learning tools that develop advanced statistical models on both structured and unstructured data. Our software and business intelligence designs include identifying and developing opportunities to eliminate the need to perform repetitive, simple activities through use of bots, or to enhance and improve user experience with chatbots or intuitive, data-driven prompts that improve quality and reduce user stress. Data science Data platform design Big data architecture Data visualization Machine learning (ML) Robotic process automation (RPA) Natural language processing (NLP) Latent semantic indexing (LSI) Statistical modeling and algorithm development 9th Way Insignia's range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Clearance/Background Investigation Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Benefits Eligible employees will have access to our comprehensive benefits package which includes Medical, Dental, Vision, Voluntary Life Insurance, 401(k), Basic Life A&D, STD, LTD, PTO, Telehealth, paid holidays, FSA, HSA. Additional resources include our Employee Assistance Program (EAP) and Traveling Assistance. Legal We're an equal employment opportunity employer that empowers our people to fearlessly drive change - no matter their race, color, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, age, marital status, sexual orientation, gender identity, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, or local law.

Akkodis is seeking a Remote Medical Device Statistician for a 12-month contract job, with possible extension yearly through 2028, or conversion after 12 months, with a client in Bloomington, IN. You will support functional areas in proper implementation and execution of statistical techniques used throughout the lifecycle of a medical device. You will revise policies and procedures on statistical techniques including Hypothesis Testing, Confidence Limits, Sample Size Determination, Design of Experiment, Process Capability, Measurement System Analysis, Acceptance Sampling, Statistical Process Control, etc. Rate Range: $30.54/hour to $47.50/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Remote Medical Device Statistician job responsibilities include: * Develop required training and participate in execution of training * Support various production, engineering, quality, and technical teams in the evaluation of data and problem-solving * Assist with design and execution of statistical analysis * Approve protocols and reports as required by the quality system (i.e. independent statistical reviewer) * Ensure that sampling methods are adequate for their intended use * Communicate with non-statisticians on proper use of statistical methods and interpretation of results * Develop and apply complex statistical techniques as needed and demonstrate the statistical validity of these techniques. * Effectively present and document complex subject material * May interface with internal, 3rd party audits e.g. FDA, Notified Body, etc) * Manage conflict resolution as it relates to technical situations * Must work and interact effectively and professionally with and for others throughout various levels of the global organization * Must maintain company quality and quantity standards * Ability to work in collaborative and independent work situations and environments with minimal supervision Desired Qualifications: * M.S. in Statistics or above preferred, Bachelors or above in related scientific discipline may be considered with appropriate working experience. One to five years of experience required (Pay scale based on experience). * Previous experience must include direct responsibility with application of statistical techniques within development and manufacturing role. * Demonstrated knowledge of medical device regulation (ISO 13485, 21CFR) and risk management (ISO 14971) * Working knowledge of statistical software, experience with MiniTab preferred * Proficiency in the Microsoft Office suite of products (Word, Excel, PowerPoint, and Outlook) preferred. * Must have effective oral, written and presentation communication skills * Must have excellent analytical and problem-solving skills * Critical thinking and attention to detail required * Ability to remain calm and receptive in fast paced situations If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis go to **************** Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit ****************************************** The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: * The California Fair Chance Act * Los Angeles City Fair Chance Ordinance * Los Angeles County Fair Chance Ordinance for Employers * San Francisco Fair Chance Ordinance Pay Details: $30.54 to $47.50 per hour Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Equal Opportunity Employer/Veterans/Disabled Military connected talent encouraged to apply To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to ************************************************* The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: * The California Fair Chance Act * Los Angeles City Fair Chance Ordinance * Los Angeles County Fair Chance Ordinance for Employers * San Francisco Fair Chance Ordinance Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Contact: Neisha Camacho/Terra Parsons - ************************* No 3rd party candidates Senior Statistical Programmer to support programming activities within CNS in support of clinical trials and regulatory submissions. In this role, you will transform raw clinical data into analysis ready datasets, generate high-quality TLFs, and contribute to the continuous improvement of analysis workflows and programming processes. Key Responsibilities: Provide statistical programming support to generate SDTM and ADaM data sets, tables, listings, and figures for individual studies as well as ISS/ISE analyses. Provide programming support to internal teams including identifying, reporting, and resolving raw data issues Participate in the review of statistical analysis plans, table specification, develop specification for SDTM and ADaM data sets. Participate in study team meetings and address issues that may affect statistical programming. Support and participate in the preparation of clinical study reports, regulatory submissions, and annual DSUR and safety reports. Perform ad hoc analyses and data validation. Develop and maintain necessary programming macros or tools to effectively support all programming needs Develop and contribute to internal teams SOPs and working documents related to EDC studies, FDA requests, independent validation, and general statistical programming processes. Qualifications Bachelor's or Master's degree in biostatistics, computer science, or related fields 8 years in statistical programming within the pharmaceutical, biotechnology, or CRO industry, including regulatory submissions within CNS is preferred. Advanced SAS programming; CDISC standards expertise; knowledge of additional programming languages (R, Python) is a plus. Strong Macro and tool development and validation Experience in BLA, NDA/sNDA submissions. Proficiency in additional programming languages such as R or Python, along with experience using SAS/Graph and statistical packages, is preferred. Strong communication skills and the ability to collaborate within cross-functional teams to manage priorities and meet deadlines are essential.

Job Description: Work Time Zone: Eastern Time Zone (EST) Employment Type: 12-month contract (renewable) Please NOTE: This role requires over 8 years of hands-on SAS programming experience and expertise in Tableau within the pharmaceutical and biotech industry. Key Qualifications: - Tableau Expertise: At least 4+ years of experience in creating, managing, and optimizing dashboards, reports, and visualizations in clinical trial data contexts. - SAS Programming: Over 8 years of industry experience working with clinical trial data as a SAS/Statistical Programmer. - Oncology Experience: 4-5 years of experience in oncology-focused clinical trials and overseeing CRO activities. - Data Visualization: Recent experience in producing data visualizations using Tableau, such as real-time data review dashboards. - Study Setup and Analysis: Experience in setting up studies and generating visualizations using Tableau, preprocessing clinical data using SAS, assessing the quality of analysis data, and performing cross-study analyses. - Collaboration: Strong collaboration skills with staff in Biostatistics, Clinical Data Management, Clinical Research, and Global Drug Safety. - Programming Support: Ability to provide programming support for generating tables, listings, and figures for assigned projects. - CDISC Standards: Knowledge and application of CDISC standards (SDTM, ADaM) to submission activities. - Validation: Experience in creating and validating safety tables, efficacy tables, and lab shift tables in line with SAP and mock layouts and validating datasets and outputs through double programming. - Process Improvement: Participation in process improvement initiatives, internal programming tasks, and presentations to internal committees and boards. Required Skills, Experience, and Education: - A master's or bachelor's degree (or equivalent qualification) in a relevant field or 10 years of industry experience. - 4+ years of expertise in Tableau (mandatory). - 8+ years of experience in statistical programming with clinical trial data, particularly using SAS software. - Strong communication and collaboration skills, with a proven ability to thrive in a multidisciplinary team environment. - Prior experience in oncology-focused clinical trials is preferred. - Exceptional time management and organizational abilities to meet deadlines and deliver high-quality results. Required Skills: Tableau