440 Statistical jobs in the United States

Job Description

Arrowhead Pharmaceuticals, Inc. (Nasdaq: ARWR) is a clinical stage biopharmaceutical company that develops medicines that treat intractable diseases by silencing the genes that cause them. Using a broad portfolio of RNA chemistries and efficient modes of delivery, Arrowhead therapies trigger the RNA interference mechanism to induce rapid, deep, and durable knockdown of target genes. RNA interference, or RNAi, is a mechanism present in living cells that inhibits the expression of a specific gene, thereby affecting the production of a specific protein. Arrowhead's RNAi-based therapeutics leverage this natural pathway of gene silencing.

Arrowhead is focused on developing innovative drugs for diseases with a genetic basis, typically characterized by the overproduction of one or more proteins that are involved with disease. The depth and versatility of our RNAi technologies enables us to potentially address conditions in virtually any therapeutic area and pursue disease targets that are not otherwise addressable by small molecules and biologics. Arrowhead is leading the field in bringing the promise of RNAi to address diseases outside of the liver, and our clinical pipeline includes disease targets in the liver and lung with a promising pipeline of preclinical candidates.

Arrowhead's corporate headquarters is in Pasadena, CA with research and development teams in Madison, WI & San Diego, CA, and a state of the art manufacturing facility in Verona, WI. Our employees are nimble, science-driven innovators who are collaborating to bring new therapies to patients in need.

The Position

We are seeking a statistical programmer to join our growing biometrics team to support clinical studies across Arrowhead's expanding portfolio. This is an exciting opportunity for a candidate trained in statistical methods and analysis who has some or limited prior experience working as a statistical programmer. They will initially contribute their expertise in the area of statistical programming, with a goal to develop as a clinical trial statistician.

Responsibilities

• Develop targeted, study-specific SDTM and ADaM dataset checks
• Perform independent QC, from raw data to ADaM, of primary and key secondary endpoints
• Deliver programming results for ad-hoc analysis requests
• Collaborate with data management and their programming team to ensure appropriate data collection and reporting
• Participate in study team meeting and support statistician operational activities
• Assist in efforts to identify, develop, and implement departmental standards, applications, processes and training

Requirements:

• Master's degree in biostatistics/statistics/public health or similar field
• Basic understanding of clinical trials
• Working knowledge of SAS, including complex data manipulation and basic analysis procedures; or certifications for SAS programming
• Excellent verbal and written communication skills

Preferred:

• Familiarity with CDISC standards, derivation of SDTM and ADaM specifications
• Simulations and sample size calculation
• Proficiency in R
• CRO experience

California pay range

$90,000—$130,000 USD

Arrowhead provides competitive salaries and an excellent benefit package.

All applicants must have authorization to work in the US for a company.

California Applicant Privacy Policy

Duties and Responsibilities:

• Lead or co-lead analytical tasks on federal research projects, setting direction for junior analysts where appropriate.
• Communicate with clients and stakeholders to define project requirements, scope, and analytic strategies.
• Translate complex statistical findings into actionable insights for technical and non-technical audiences.
• Apply rigorous quality assurance to data editing, coding, and analytic processes.
• Conduct and guide analysis of complex survey and administrative data, including the application of weights and variance estimation.
• Design and produce data visualizations, summary statistics, and publication-quality tables.
• Review and validate technical work products, including scripts and statistical models, prepared by team members.
• Document methodologies and contribute to the authorship of methods and results sections of technical deliverables.
• Explore the integration of alternative data sources (e.g., big data) into survey-based research.
• Support project management through agile task tracking, documentation, and client presentations.
• Foster a collaborative and innovative team culture, contributing to the division’s strategic growth and knowledge base.

Required Skills, Qualifications, Certifications:

· U.S. Citizenship with ability to obtain and maintain a 6C Public Trust clearance.

· At least 10 years of professional experience in statistical analysis, preferably in federal statistical environments.

· Bachelor’s degree in Statistics, Data Science, Demography, Sociology, or a related field.

· Demonstrated expertise in survey data analysis, including variance estimation and weighting methodologies.

· Extensive experience using SAS, including SURVEY procedures; working knowledge of R (survey package).

· Proven ability to lead complex projects and mentor junior analysts while managing competing priorities.

· Excellent written and verbal communication skills, especially in explaining statistical findings to non-statisticians.

· Strong collaboration skills and a track record of effective teamwork within interdisciplinary settings.

· Initiative and judgment suited to taking on increasing levels of responsibility in technical and strategic roles.

Desired Skills, Qualifications, Certifications:

• Experience with Python and advanced analytics frameworks.
• Familiarity with project management and issue tracking tools (e.g., Jira).
• Experience working in agile environments.
• Interest in developing into a division lead or technical subject matter expert role over time.

Duties and Responsibilities:

• Lead or co-lead analytical tasks on federal research projects, setting direction for junior analysts where appropriate.
• Communicate with clients and stakeholders to define project requirements, scope, and analytic strategies.
• Translate complex statistical findings into actionable insights for technical and non-technical audiences.
• Apply rigorous quality assurance to data editing, coding, and analytic processes.
• Conduct and guide analysis of complex survey and administrative data, including the application of weights and variance estimation.
• Design and produce data visualizations, summary statistics, and publication-quality tables.
• Review and validate technical work products, including scripts and statistical models, prepared by team members.
• Document methodologies and contribute to the authorship of methods and results sections of technical deliverables.
• Explore the integration of alternative data sources (e.g., big data) into survey-based research.
• Support project management through agile task tracking, documentation, and client presentations.
• Foster a collaborative and innovative team culture, contributing to the division’s strategic growth and knowledge base.

Required Skills, Qualifications, Certifications:

· U.S. Citizenship with ability to obtain and maintain a 6C Public Trust clearance.

· At least 10 years of professional experience in statistical analysis, preferably in federal statistical environments.

· Bachelor’s degree in Statistics, Data Science, Demography, Sociology, or a related field.

· Demonstrated expertise in survey data analysis, including variance estimation and weighting methodologies.

· Extensive experience using SAS, including SURVEY procedures; working knowledge of R (survey package).

· Proven ability to lead complex projects and mentor junior analysts while managing competing priorities.

· Excellent written and verbal communication skills, especially in explaining statistical findings to non-statisticians.

· Strong collaboration skills and a track record of effective teamwork within interdisciplinary settings.

· Initiative and judgment suited to taking on increasing levels of responsibility in technical and strategic roles.

Desired Skills, Qualifications, Certifications:

• Experience with Python and advanced analytics frameworks.
• Familiarity with project management and issue tracking tools (e.g., Jira).
• Experience working in agile environments.
• Interest in developing into a division lead or technical subject matter expert role over time.

• Bachelor's degree including 24 semester credit hours in mathematics, statistics, or actuarial science; and
• Eligible to work in New York State

• ssists in constructing actuarial tables by analyzing and presenting data.
• ssists in reviewing the actuarial basis of plans and calculates premiums; evaluates premium rates, reserves, and liabilities.
• ssists in reviewing methods used to value categories of policies, special benefits, or special liability terms.
• ssists in checking the mathematical accuracy of calculations.
• Participates in field examinations of one or more of the following: life insurance companies, fraternal benefit societies, health maintenance organizations (hmos), commercial carriers, non-profits, and retirement systems.
• ssists in preparing valuation memoranda; assists in reviewing health insurer rate submissions and statistical compilations.
• Reviews insurance company rate filings and reserve analysis for compliance with standards; maintains in-house databases.
• Reviews claims records and death and disability cases to establish proper estimates of eventual incurred losses.
• Computes loss reserves for death and disability cases.
• Calculates the present values of workers' compensation cases and the amount payable to claimants.
• Calculates reserves for transfers, disability, and deferred allowances.
• Computes cost-of-living factors for supplemental pensions paid to annuitants.
• Checks computations for valuation and service retirement allowance
• ssists with special projects and research as needed.
• Performs other duties as assigned.

• Work individually and as part of a team.
• Track and manage reporting projects without daily oversight.
• Excellent verbal communication, writing, and interpersonal skills.
• Strong project management skills, including experience managing multiple time-sensitive, complex projects simultaneously.
• Detail-oriented with the ability to organize and prioritize tasks effectively in a fast-paced environment.
• Proficiency with Microsoft 365, including working experience with Excel, WebEx, and Zoom.
• Manage varied tasks as assigned.

• Shift Days/Times: Monday to Friday, 9:00 AM to 5:00 PM.
• Client does not provide parking, but the office is accessible by subway or bus.
• Interviews will be conducted Online or In-person based on the availability.
• Training will be provided.

• Our outstanding healthcare coverage, including dental and vision, begins in just 30 days after you join us.
• We offer weekly payments via ACH (Automated Clearing House).
• Serving as Prime Vendors to New York State and New York City for over 10 years.

Job Description: Pay Range: $20hr - $22hr Tableau, Microsoft Office (Word, Excel), Adobe Pro, SharePoint, TEAMS, and Email (Outlook). The position also requires the ability to be knowledgeable of and utilize the Justice Center's VPCR. Conducting statistical analysis of agency operations using Tableau, Oracle Analytics, and other data visualization tools. I.

• 3 years of experience in analyzing data and developing presentations and reports for legal or compliance teams.
• 1 year of experience coordinating cross-divisional projects with technical and non-technical stakeholders.
• 1 year of supervisory experience leading a team.
• Proof of eligibility to work in NYS.
• Bachelor's Degree in Business, Business Administration, Economics, Econometrics, Finance, Law, Mathematics, Political Science, Public Administration, Public Policy, Risk Management or Statistics.

• nalyze and understand business requirements to design and implement cross-divisional projects.
• Coordinate and collaborate with information technology and business teams relating to data sources, metrics, analytics, and reports.
• Design and prepare periodic reports and presentations related to regulatory compliance and cybersecurity intelligence, as per requirements details in official Client policies.
• Use technical expertise to automate manual processes and reporting.
• Compile and compute data according to statistical formulas for use in data analysis and/or statistical studies.
• Work with complex data sets to understand problems and recommend procedures while using various analytical and statistical approaches.
• Prepare business analytics and assist in preparing metrics and reporting.
• Respond to ad hoc requests for data, aggregations, and visualizations.
• Conduct research and analysis of data at Client, definitions and usage, system flows, and challenges.
• Develop documentation including data dictionaries, policies, and procedures.
• Other duties as assigned.

• Develop metrics and reports.
• Data analysis.
• High-level competency in Excel (e.g., advanced formulas).
• bility to translate complex business requirements to technical specifications for IT.
• Highly motivated and effective working autonomously and as part of cross-functional teams.
• bility to multi-task across projects while maintaining a high-quality work product.

• Monday through Friday, 37.5 hours per week. Shift timing to be determined during the interview.
• Client does not provide parking, but the office is accessible by subway or bus.
• Interviews will be conducted Online or In-person based on the availability.
• Training will be provided.

• Our outstanding healthcare coverage, including dental and vision, begins in just 30 days after you join us.
• We offer weekly payments via ACH (Automated Clearing House).
• Serving as Prime Vendors to New York State and New York City for over 10 years.

• Provide statistical programming support to generate SDTM and ADaM datasets, tables, listings, and figures for individual studies and ISS/Client to FDA, EMA, and other worldwide regulatory agencies.
• Participate in the review of statistical analysis plans and TLF specifications.
• Review or annotate CRFs for SDTM mapping, review/author SDTM/ADaM dataset specifications.
• Review, and comment on CRFs, vendor data transfer specifications (DTS), edit checks and other study data related documents.
• Support in the preparation of study reports, regulatory submissions, and annual safety update reports.
• Perform additional analysis and validation for data checking, publication, presentation, poster, and ad hoc analysis.
• Work with CRO statistical programmers and perform statistical programming vendor oversight.
• Contribute to Biometrics SOPs and work instructions related to EDC studies, FDA requests, and statistical programming processes.
• Contribute to department process improvement initiatives.
• Support department infrastructure builds up by developing, validating, and testing the macros, utilities, and tools.
• Keep abreast of literature and advancements in SAS.

• Bachelor's or master's degree in biostatistics, computer science, or related fields, master's degree preferred.
• t least 8+ years of relevant experience, including as a Lead Statistical Programmer, in the biotech or pharmaceutical industry.
• The ideal candidate must be able to communicate effectively within a multi-disciplinary project team to assess priorities and complete assigned tasks on time.
• Proficient of SAS programming in a regulated clinical research environment.
• Experience of programming and validation of SDTM and ADaM data sets, tables, figures, and listings.

• Develop and execute modeling-ready analysis and reporting datasets, tables, listings, figures and submission deliverables under the guidance of a senior level programmer.
• Perform validation tasks according to departmental SOPs and collaborate effectively with outsource partners.
• ct as a key collaborator with modelers, statisticians, and other project stakeholders to gather and document user requirements for statistical programming deliverables.
• Programmatically synthesize preclinical data into analysis ready structures from varied data sources.
• Programmatically develop, validate and maintain modeling-ready datasets by integrating PK, PD and covariate data.
• Produce tables and graphics for inclusion in study reports and regulatory submissions.
• Produce SAS transport files and associated documentation for regulatory submissions.
• ssure deliverable quality and compliance with departmental SOPs and good programming practices.
• Collaborate effectively with project team members including outsource provider staff.
• This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely.

• Must have a master's degree in computer science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field OR a bachelor's degree in computer science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus at least 2 years SAS programming experience in a clinical trial environment.
• Must possess SAS programming skills including data steps, procedures, SAS/MACRO, SAS/GRAPH.
• Knowledge and skills in developing analysis and reporting deliverables for R&D projects (data, analyses, tables, graphics, listings); knowledge of pharmaceutical development processes; and knowledge in CDISC SDTM and ADaM standards required.
• Must possess abilities to quickly and effectively learn new program techniques and data structures; to take direction effectively and complete programming tasks under the guidance of a senior programmer at a project level; and to collaborate with key stakeholders.
• Must have an interest and ability to work in an exploratory environment, handling non-standard data in a variety of formats with minimal requirements; and an interest to advance career by investing in development activities and taking on tasks with increasing levels of challenge and responsibility.
• Good interpersonal skills and ability to negotiate and collaborate effectively; good written, oral, and presentation skills also required.