Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com
No 3rd party agencies

Job Description:
The Principal of Real-World Evidence (RWE) will provide leadership for RWE studies and analyses using administrative claims data/EMR. They are responsible for providing RWE project leadership, establishing rigorous assessments of administrative claims data/EMR to evaluate real-world outcomes for all products. They will oversee the planning and execution of RWE projects conducted by the RWE team. The candidate will also ensure the timeliness and delivery of scientifically valid research.

• Support the design, review, and execution of RWE research projects using administrative claims data/ EMR including development of protocols, contributing to statistical analysis plans (SAPs), reviewing and interpreting study results, and abstract and manuscript development.
• Stay current with research on RWE methodology and its applications as pertinent to project needs.
• Oversee and manage study team communication, project milestones, dissemination of results to key members, including internal and external collaborators.
• Work collaboratively with members of study teams to meet study and recurring report timelines.

• PhD in epidemiology (or similar area) with 2+ years research experience or MS in epidemiology (or similar area) with 4+ years research experience
• At least 2 years with analytic experience of healthcare claims databases/EMR
• Familiarity with US and global health care delivery system (e.g..payers and reimbursement models)
• Deep understanding of observational study design and analysis and ability to lead multi-disciplinary teams required to support program, project and contract management and financial reporting
• Experience designing and analyzing RWE, from protocol development through public dissemination (e.g. abstracts and manuscripts)
• Demonstrated strategic and conceptual skills to develop innovative approaches for developing product differentiation
• Proficient in drug development regulations pertinent to RWE and in Oncology/Neuroscience therapeutic space
• Able to work in a fast-paced, flexible, team-oriented environment.

Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com
No 3rd party agencies

Job Description:
The Principal Biostatistician will be responsible for performing, and validating statistical analyses in support of Medical Affairs, inclusive of overseeing the work of programming for external vendors in accordance with departmental SOP and guidelines, as needed and sit within the Medical Affairs Statistics, Epidemiology, and RWE branch of the Data Sciences department.

• Develop, design, and oversee or perform post-hoc analyses of existing databases and meta-analyses as needed and appropriate
• Support clinical development biostatistics with exploratory analyses necessary for submissions and regulatory queries.
• Work collaboratively with members of study teams to meet study and recurring report timelines.
• Support the development and implementation of study protocols.
• Review and contribute to protocol, eCRF design, dataset specifications plans at study level in accordance with best practices.
• Develop and review SAP, TLF Shells, statistical reports and other key study documents.
• Review and provide input to study-specific data capture systems and participate in their validation.
• Create and document archives of programs, outputs, and analysis files.

• Master’s degree with >2 years of experience; OR PhD in statistics, mathematics or a related discipline with a statistical focus.
• Proficient in drug development regulations pertinent to statistical analysis and in the and Oncology/Neuroscience therapeutic space
• Proficient SAS & R programming skills
• Understanding of CDISC SDTM and ADAM models and standards is preferred, but not required.
• Excellent writing and communication skills, demonstrated leadership abilities and excellent interpersonal skills.
• Able to work in a fast-paced, flexible, team-oriented environment.

• Provides support for all activities related to clinical development, including development of key study and program hypotheses, clinical development plans, study designs, regulatory meetings, submissions, and follow up
• Applies innovative statistical approaches to the design of studies and to the analysis/reporting of study results (e.g., modeling and simulation, adaptive design, and/or Bayesian approaches)
• Ensures accurate, statistically valid deliverables in protocols, statistical analysis plans, study reports, manuscripts, and regulatory submission documents
• Coordinates simultaneous achievement of major statistical deliverables and milestones for multiple clinical trials across the portfolio in collaboration with the clinical development team and other functions
• Leads and manages internal/external biostatistics resources supporting studies and programs
• Collaborates with data management and statistical programming to provide timely and accurate biostatistics deliverables
• Monitors project progress and ensures proper resource allocation for successful project deliverables against goals and timelines
• Responsible for providing statistical input and leadership for preparation of marketing applications (NDA/BLA) to FDA, EMA, or other worldwide regulatory agencies
• Collaborates with Data Management and Statistical Programming to build our internal capabilities and develops standard processes for CDISC compliant data sets (SDTM and ADaM), performing formal tables, listing & figure production and QC in preparation for submission readiness
• Serves as a strategic partner with clinical team to aid in quantitative clinical decisions

• PhD in Biostatistics/Statistics or equivalent with a minimum of 5 years relevant work experience or MS in Biostatistics/Statistics or equivalent with a minimum of 10 years relevant experience
• Candidates must have strong simulation experience using R with some SAS capability as well
• Extensive experience with IND/NDA activities and regulatory interactions, including filing, ISS and/or ISE experience
• Experience with interim analysis design, conduct and manage/support data monitoring committee
• Excellent SAS programming and analytical skills to develop programs to QC, using SAS/BASE, SAS/STAT, SAS/GRAPH and SAS Macros.
• Knowledge of GCP/ICH guidelines for conducting clinical trials
• Pharmaceutical experience with clinical trials, including familiarity with expectations of regulatory agencies, especially the FDA
• Effective communicator: able to explain methodology and consequences of decisions in lay terms; able to understand requests for complex analyses, etc.
• Able to manage multiple projects and conflicting priorities, and to be flexible when priorities change
• Effective team player with willingness to go the extra distance to deliver results, meet/exceed deadlines, etc.
• Excellent written and verbal communication

Our client is a clinical-stage biotech seeking an experienced and strategic Director or Associate Director of Biostatistics to lead and contribute to the planning, execution, and interpretation of statistical analyses for clinical trials. This is a high-impact role supporting drug development programs through every phase, from study design to regulatory submissions. The successful candidate will collaborate with cross-functional teams, interface with global Health Authorities, and manage CROs and vendor partners to ensure the highest standard of statistical excellence.

Key Responsibilities

Director-Level Responsibilities:

• Lead statistical and programming efforts at the product level across multiple clinical trials.
• Provide statistical input into clinical development strategies, study protocols, SAPs, and study reports.
• Ensure high-quality statistical deliverables, including TFLs (tables, figures, listings), for regulatory submissions and internal decision-making.
• Oversee CRO and vendor performance for statistical programming and analysis.
• Participate in global Health Authority interactions, preparing statistical documentation and potentially representing the company in meetings or calls.
• Guide cross-functional teams on data interpretation, regulatory strategy, and safety analyses.

Associate Director-Level Responsibilities:

• Support innovative clinical trial designs that maximize development efficiency and scientific rigor.
• Translate complex statistical concepts for clinical and regulatory audiences.
• Serve as the statistical lead for individual studies or indications, ensuring alignment of data collection and analysis with strategic objectives.
• Provide robust analysis planning, including endpoint selection, hypothesis testing, and data interpretation.
• Collaborate on the development of clinical study protocols, reports, publications, and regulatory documentation.
• Maintain compliance with SOPs and project standards, ensuring statistical quality across deliverables.

Qualifications

Education & Experience Requirements:

• PhD in Statistics, Biostatistics, or related field with 8+ years (Director) or 6+ years (Associate Director) of relevant experience in the biotech/pharmaceutical industry, or Master’s degree with 10+ years (Director) or 8+ years (Associate Director) of experience.
• Proven track record of contributing to or leading successful regulatory submissions (e.g., NDA/BLA).
• Strong understanding of biostatistical methods applied to clinical development and regulatory environments.
• Excellent knowledge of SAS and/or R programming.

Preferred Attributes:

• Demonstrated leadership of cross-functional study teams or statistical teams.
• Effective communicator able to convey complex statistical ideas clearly and persuasively.
• Experience managing CROs or external vendors.
• Flexible, collaborative, and solutions-oriented mindset.
• Up-to-date knowledge of statistical methodology and regulatory guidance.

What They Offer

• A mission-driven, science-focused environment where innovation and teamwork drive development.
• Opportunities to contribute meaningfully to programs with global impact.
• A collaborative culture that values diverse perspectives and continuous learning.
• Competitive compensation and comprehensive benefits.

Contact: Neisha Camacho/Terra Parsons – teamnt@penfieldsearch.com

No 3rd party agencies
On-Site - Candidates must be local to Philadelphia.

SAS Programmer Job Description:

We are looking for a passionate and experienced SAS and R Programmer to join our team! Programmers are responsible for transforming raw clinical trial data into analyzing datasets, providing Tables, Listings, and Figures (TLFs), and maintaining and improving analysis algorithms and processes. This job will entail close collaboration with team members, as well as Regulatory and Clinical partners. High-quality clinical trial analyses and presentation are crucial for better decision-making. 

Key Responsibilities:

• Process Electronic Data Capture (EDC) data into analytical datasets
• Create Tables, Listings, and Figures to support Regulatory Clinical Trials
• Develop and maintain SAS programs for data importing, quality assurance, and reporting.
• Produce Define XML/PDFs, aCRFs, and Reviewers Guides to support SDTMs and ADaMs

Requirements:

• BS in Statistics, Computer Science, Mathematics, or a similar field. Work experience will be considered.
• Deep knowledge of SAS and R. Skills in Python are a plus.
• Programming experience in the CRO or Pharmaceutical industry
• Knowledge of data standards for clinical research and statistical analysis (e.g., CDISC, SDTM, ADaM, ICH Statistical Principles for Clinical Trials)
• Excellent oral and written communication skills
• Ability to read, analyze, and interpret complex documents.
• Strong organization skills and flexibility to respond to changing deadlines.

Our client, a clinical-stage biopharmaceutical company focused on Rare Diseases, is seeking a Senior Manager or Associate Director of Biostatistics to join their growing team. This is a unique opportunity to serve as the second Statistician in the organization and take on a strategic leadership role in driving statistical design and analysis for clinical trials across all phases of development. *This role can come in at Director level for an exceptional candidate, depending on experience.

Key Responsibilities:

• Serve as the lead statistician on clinical development studies, from protocol design through regulatory submission
• Develop statistical analysis plans, author mock analysis packages (tables, figures, listings), and contribute to clinical study reports
• Partner closely with data management to align CRFs with protocols and SAPs; conduct user acceptance testing (UAT) for clinical trial systems
• Oversee and collaborate with internal or CRO programmers to ensure quality and timely delivery of TFLs
• Contribute to regulatory submissions including eCTDs, briefing documents, and responses to health authority queries
• Stay current with FDA, ICH, and other regulatory statistical guidelines

Qualifications:

• Ph.D. in Biostatistics, Statistics, Mathematics, or a related field
• Minimum of 4 years’ experience in clinical trials within the pharmaceutical or biotech industry (for the Senior Manager level); MS 7+ years
• Strong knowledge of statistical experimental design and regulatory requirements for clinical studies
• Proficiency in statistical programming using SAS and/or R
• Experience with eCTD submissions and direct interactions with regulatory authorities
• Strong communication and interpersonal skills; ability to thrive in a dynamic and evolving environment

This is a highly visible and impactful role with room for growth as the company advances its pipeline. If you're ready to bring your statistical leadership to a company making a difference in the Rare Disease space, we encourage you to apply.

Our client is a clinical-stage biopharma company focusing in the Oncology space. They are currently seeking a highly skilled and experienced Director of Biostatistics to provide leadership to develop and execute statistical strategy, design and analyses for clinical trials in all phases. As Director you will apply sound statistical methodology to meet project objectives, health authority guidelines, and regulatory requirements.

This is a hybrid role based in the San Francisco Bay or Philadephia metro areas.

About the Role:

• Provide leadership within biostatistics function to develop and execute statistical strategy, design and analyses for clinical trials in all phases.
• Apply sound statistical methodology to meet project objectives, health authority guidelines, and regulatory requirements.
• Develop and/or applies statistical theories, methods and software.
• Partner in clinical development program, study design, establishing standards for clinical conduct, and the collection, management and/or reporting of data.
• Provide strategic statistical and regulatory guidance to anticipate challenges, mitigate risk, and ensure project success.
• Represent biostatistics function in interactions with institutional review boards, ethics committees, and health agencies.
• Work with department head to develop and implement department standards and practices.
• Direct the statistical design, conduct, and analysis of clinical trials in all phases.
• Review protocols and case report forms for soundness of trial design.
• Review and or author statistical analysis plans for all phases of a trial.
• Perform analysis, interpret study results, and collaborate with clinical team to produce interim reports, final reports, and publications.
• Direct the development, validation and summary of integrated safety and efficacy summaries.
• Interact with FDA or EU Authority staff to ensure clinical studies meet regulatory requirements.
• Attend meetings with FDA or EU Authority to ensure ongoing agreement on project development.
• Contribute to the development of Requests-for-Proposals.
• Evaluate and manage contract research organizations and other vendors, including scope-of-work, timelines, deliverables and budgets.
• Responsible for all statistical oversight within a therapeutic area.

Please have:

• MS/MS degree in Statistics/Biostatistics and 10 years’ industry experience or PhD and 7 years.
• Comprehensive and detailed knowledge of: statistical experimental designs, analyses and clinical trial requirements, particularly pertaining to Oncology trials.
• Developed/reviewed SDTM/ADaM specifications.
• Excellent knowledge of FDA/EU statistical guidelines.
• Experience in state-of-the-art data organization and statistical analyses using statistical software such as: R and SAS.
• Understanding of other disciplines such as data management, clinical operations, clinical science, regulatory affairs and drug safety.
• Project management and contract negotiation with outside vendors.

Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com
No 3rd party candidates

Position Summary

We are in search of a passionate Data Scientist who excels at transforming raw data into valuable insights. The ideal candidate is proficient in R, Python, PowerBI, SQL, and possesses knowledge of statistical methods and machine learning. You should have a deep understanding of analyzing datasets of various sizes and be skilled at presenting data in a manner that is accessible to diverse audiences. As a part of our agile team, you will not only be diving into multiple domains but will also play a pivotal role in shaping our data-driven strategies. Prior experience in a cross-functional team is a plus. If you are someone who loves challenges, can handle multiple projects, and aims to make a significant impact, then you might be the fit we are looking for!

Primary Responsibilities

• Analyze, interpret, and visualize data across multiple domains to generate actionable insights.
• Provide expertise on both small and large dataset analysis, ensuring accuracy and relevance of the findings.
• Collaborate with different departments to understand their data needs and deliver tailored solutions.
• Develop and maintain dashboards using PowerBI, ensuring they are user-friendly, updated, and provide real-time insights.
• Apply statistical methods and machine learning techniques to extract deeper insights from data.
• Work within multiple small teams, ensuring smooth communication, understanding of project requirements, and timely delivery.
• Offer recommendations based on data analysis that can drive company strategy and decision-making.
• Participate in regular team meetings, presenting findings and updates on ongoing projects.

Qualifications and Key Success Factors

• Bachelor's degree required, or Master's degree preferred in Data Science, Computer Science, Statistics, Mathematics or a related field.
• Experience in a data science role or related position.
• Proficiency in R, Python, PowerBI, SQL, and knowledge of statistical methods and machine learning.
• Demonstrated experience in analyzing and visualizing both small and large datasets.
• Ability to work in multiple domains and adapt to changing requirements.
• A proactive approach to problem-solving and a keen eye for detail.
• Prior experience with patient level data is a plus

Contact: Alexandra Spink – aspink@penfieldsearch.com

No 3^rd party agencies

Job Description: As a Director, Quantitative Pharmacology, Pharmacometrics, you will play a critical role in advancing drug development by serving as the key expert on all pharmacometrics matters relating to assigned clinical projects. You will oversee all pharmacometrics activities related to pre-IND, IND, phase1-3, PK, PK/PD and regulatory submissions.

In this position, you will lead analysis, execution and reporting of pharmacometrics studies. You will provide input into all phases of drug development including, but not limited to dose finding, dose optimization, exposure-response and pediatric development. The Director of Quantitative Pharmacology, Pharmacometrics loosely interacts with non-clinical and bioanalytical team members for design and execution of first-in-human, mass balance and drug interaction studies.

This position is based in Rockville, Maryland or Princeton, New Jersey. This is a hybrid work policy and travel is expected 20% of the time based on business needs. Remote options will be considered for US candidates.

Responsibilities:

• Author/reviewer of clinical pharmacology and pharmacometrics submission documents and representative of the department at different product development team meetings.
• Interacts with early development and business development team members as well as external collaborators to assess/lead development and selection of pre-IND and early phase assets.
• Lead pharmacometrics activities related to study design, protocol development, study execution, reporting and interpretation of data.
• Conduct population PK, PK/PD analysis and modeling and simulation.
• Leads pharmacometrics team members and participate in activities related to analysis and reporting of population PK and PK/PD analyses.
• Leads pharmacometrics and modeling and simulation activities to support optimizing clinical study dose, dosing regimen and design.
• Lead development of pharmacometrics sections of clinical pharmacology documents for regulatory filings including annual reports, investigator’s brochure, IND/NDA applications and pediatrics development plans.
• Work with bioanalytical team members on activities related to sample management, pharmacogenomics and biomarker development and provide analysis support related to PK and PK/PD.
• Work with formulation development groups and provide support for activities related to formulation development, dissolution testing, in vivo-in vitro correlations and biowaivers for pre- and post-approval formulations.
• Manage pharmacometrics activities related to project budgets, outsourcing of PK and PK/PD analyses, contract requisition, SOW and approval of invoices.
• Training and mentoring of staff related to population PK and PK/PD modeling.
• Serve as pharmacometrics lead on multiple project teams and as a team member on other key projects as needed and lead model-based drug development strategies for ongoing projects.

Minimum Qualifications:

• PhD in pharmacometrics (or a related area such as pharmacokinetics, clinical pharmacology, pharmacology, or a related area) with a minimum of 8-10 years of industry experience in these areas.
• Strong technical and hands on experience in population PK and PK/PD modeling.
• In-depth knowledge of pharmacometrics, population PK and PK/PD modeling, clinical pharmacology, drug metabolism, biopharmaceutics, and bioanalytical chemistry.
• Hands PK and PK/PD analysis and statistical analysis using NonMEM, Phoenix NLME, Julia, R etc.
• Excellent working knowledge of phase I clinical operations, drug development, multi-region regulatory requirements.
• Good working knowledge of formulation development, drug development and clinical development.
• Current awareness of the latest developments in clinical pharmacology and guidance documents.
• Must be able to apply scientific knowledge (in the areas specified above) to further the company’s products, anticipate and identify core problems, apply insightful analysis, and solve problems effectively.
• Strong technical and hands on experience related to pharmacometrics, population PK and PK/PD modeling.

Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com
No 3rd party agencies

Job Description: As a Biostatistician, you will lead projects with mentorship from senior staff to deliver the project statistician tasks/responsibilities. You will be involved with designing and analyzing medical devices and biological clinical trials. Successful candidates will work on regulatory submissions and directly contribute to company success by increasing the strength of study designs, interpretability of results, and facilitating collaboration with internal and external teams.

Responsibilities:

• Apply knowledge of basic and complex statistical design, analysis, and programming techniques utilized in clinical research.
• Develop and reviews statistical analysis plans based on study-specific documents and sound statistical methodology.
• Develop, maintain, and produces statistical programs and specifications used in creating analysis datasets, tables, listings, and figures.
• Interact with the sponsor, internal, and external team members.
• Coordinate with programmers and data management personnel as to database maintenance, updating, and documentation. Provide guidance for database structures for analysis.
• Provide randomization schemes and appropriate documentation.
• Programs/validate statistical tables with an emphasis on efficacy endpoints. Provide proper documentation and oversees the work of others who assist in programming/validating.
• Understand and comply with all company policies and standard operating procedures.
• Maintain a professional working relationship with sponsors, collaborating associates, and vendor personnel.

Requirements:

• Ph.D. with 1-3 years’ experience, or a master’s degree with 3-5 years’ experience in Biostatistics, Statistics, or a similar field.
• Candidates must have 3+ years CRO/Pharmaceutical/Medical Device experience.
• Knowledge of FDA and ICH Guidelines required.
• Knowledge of statistical design, analysis, and programming techniques utilized in clinical research required.
• Good SAS® programming skills and understanding of database structures.
• Ability to work on multiple projects at once.
• Sense of ownership and pride in your performance and its impact on the company's success
• Good time-management skills
• Excellent interpersonal, written, and oral communication skills.
• Having the ability to pivot and present/speak to clients is a plus
• Experience with interim analysis, annual reporting, and TLF
• Hands on experience with SAS and R
• Know TLF development like back of hand

• Assist in the integration and alignment of field effectiveness initiatives, ensuring seamless coordination and communication within the team and with cross-functional partners
• Implement decisions to increase the effectiveness of field forces through regular complex analysis, optimization of business processes, and the use of effective tools and techniques to manage SF
• Identify issues and opportunities related to sales fundamentals, and work with stakeholders to propose and align on SFE initiatives to build sales fundamentals and improve sales productivity within your business unit
• Manage and coordinate special projects and initiatives (e.g., Sales Force size & structure, launch readiness, Pilot test and learns) to drive field force productivity and efficiency
• Support the development and execution of field effectiveness strategies and programs, implementing tactical plans that enhance sales force performance
• Collaborate with US Analytics, Reporting, and other key stakeholders to develop robust sales force metrics and dashboards; regularly assess field performance metrics to identify areas for improvement
• Lead cohesion team meetings to ensure that all initiatives and changes are effectively managed across operations, IC, Reporting, and CRM teams
• Facilitate the execution and pull-through of field force projects by working closely with regional leadership (RSDs, RBMs), including customer targeting, field reporting, field alerts/suggestions, omnichannel/digital, and field transformation
• Monitor industry trends and marketplace developments to stay ahead of the competition and adapt capabilities to changing business needs

• 7+ years of experience in sales analytics, field effectiveness, or life sciences management consulting, and/or field sales within the pharmaceutical or biotechnology industry
• 2+ years of experience managing people and/or leading teams, projects, or programs
• Strategic Thinking: Ability to think creatively and with innovation to drive influence with sales leadership.
• Planning: Ability to translate business plans into objectives and align resourcing to achieve that plan.
• Critical Thinking: Strong analytical skills to diagnose business issues and adjust strategies, plans, and tactics to achieve business objectives.
• Program Management: Ability to lead cross-functional teams to identify, prioritize, and implement improvements to field operations processes.
• Collaboration: Ability to work effectively with stakeholders to ensure alignment and support for initiatives.
• Communication: Ability to clearly communicate the vision, goals, and progress of initiatives to stakeholders at all levels of the organization

Contact: Kyle Diamond - kdiamond@penfieldsearch.com
No 3rd party agencies

Job Summary: The Senior Quantitative Analytics and Forecasting Manager will support the team in driving critical analyses that leverage secondary data including product and launch performance analytics, digital and other promotion effectiveness, resource allocation, omnichannel reporting and analytics; as well as supporting the short-term and long-term demand forecasting process and all forecast-related analyses. The Senior Quantitative Analytics and Forecasting Manager is expected to support work processes with guidance / supervision, work on projects simultaneously, and collaborate extensively with partner groups within and outside of the Commercial Organization. This role is a crucial strategic thought partner to key internal stakeholders throughout the organization.

Responsibilities:

• Support projects involving secondary data analytics and reporting including business performance tracking, competitive analysis, digital and other promotion effectiveness, resource allocation, segmentation, and targeting.
• Support the evolution of omnichannel reporting and analytics.
• Apply and guide usage of analytical techniques to diverse pharmaceutical data sources to address business needs and questions.
• Translate data and complex analytics into easily consumable and actionable business insights and recommendations and effectively communicate findings to stakeholders.
• Support the quarterly demand forecast process including forecast assumption updates, reporting, forecast variance analyses, continued development of the forecast tool and provide forecast-related analytics including assumption impact analyses, patient flow analyses, and persistency analyses.
• Partner with internal groups (Market Planning, Finance, Supply Chain, Market Access, etc) to understand and integrate key business dynamics into forecast, partner with sales ops to develop and implement IC goals.
• Support the weekly business performance tracking and reporting process including weekly deep dives into performance metrics to uncover business insights, trends, and drivers.
• Weekly analysis of trade data to inform on performance and variance from forecast assumptions.
• Maintenance and continued development of the performance reporting tool and metrics.
• Partner with internal groups (Data Ops, Market Access, IT) to resolve and understand drivers behind trends and data anomalies.
• Build peer support and strong internal relationships with colleagues.

Education:

• Bachelor’s degree in related discipline and a minimum of 5 years of related experience; or,
• Master’s degree in related discipline and a minimum of 3 years of related experience; or,
• Equivalent combination of education and experience.

Experience:

• Strong understanding of pharmaceutical data sources (specialty pharmacy, specialty distributor, claims, Xponent) is required
• Hands-on experience analyzing large pharmaceutical data sets using advanced statistical techniques is required
• Experience with oncology and product launches is preferred
• Prior consulting experience is preferred
• Vendor management experience is a plus
• Experience creating dashboards is preferred

Knowledge/Skills:

• Ability to frame critical business questions, identify information needs to answer those questions, and determine where to best search for information sources
• Demonstrated ability to properly structure and conduct analyses
• Comfortable with ambiguity and able to devise creative analytic solutions to open-ended business questions
• Effective presentation and communication skills, both verbal and written
• Excellent organizational, project management and problem-solving skills
• Ability to thrive in a fast-evolving environment
• Proficiency with Office products (Excel, PPT) and SQL is required

Our client is a leading CRO with a fantastic reputation for delivering quality results. They are currently looking for Biostatisticians at all levels, and these positions can be remote. All the Biostatisticians here are hands-on; some have managerial responsibilities, and some are individual contributor roles. They do ask that Biostatisticians have strong programming skills, though there is a Programming team there as well for support. Also, a good grasp of CDISC, ADaM, and SDTM standards is important here. This CRO has a mix of both FSP and standard outsourcing models ranging from small to large pharma and biotech companies so there is much opportunity to contribute in various, diverse ways across phases and therapeutic areas. This is a fantastic opportunity to deepen and broaden your statistical experience in a well-established and stable company.