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Job DescriptionJob Description We are seeking an experienced Director, Biostatistics to serve as Study Statistician across one or more drug development programs. This individual will provide statistical strategy from early development through regulatory submission, partnering cross-functionally to drive data-informed decision-making and ensure scientific and regulatory excellence. Key Responsibilities • Provide statistical strategy and oversight for multiple clinical studies or programs across all phases of development, • Contribute to Clinical Development Plans and represent Biostatistics on cross-functional teams, • Design studies, author and review protocols and Statistical Analysis Plans (SAPs), and oversee interim and final analysis, • Ensure quality, accuracy, and reproducibility of statistical outputs in collaboration with programming teams and CROs, • Support regulatory submissions (INDs, NDAs, BLAs, MAAs), including health authority interactions and integrated summaries (ISS/ISE), • Provide oversight of external vendors and mentor junior statisticians or contractors, • Contribute to publications, conference presentations, and continuous improvement initiativesQualifications Qualifications • PhD in Statistics (or related field) with 8+ years of clinical trial experience, or MS with 12+ years of experience, • Deep knowledge of statistical methods for clinical trials and FDA, EMA, and ICH guidelines, • Proficiency in SAS or R; experience with trial design software (e.g., EAST, nQuery), • Strong analytical, problem-solving, communication, and influencing skills, • Experience supporting NDAs, BLAs, MAAs, and regulatory inspections Additional Information Deciphera is committed to fair and equitable compensation practices. The base salary pay range for this role is $200,000 - $275,000. Actual compensation packages will depend on various factors, including, but not limited to depth of experience, education, skillset, overall performance and/or location. Deciphera believes in providing a competitive compensation and benefits package to all employees. Our base salary is just one component of Deciphera’s competitive total rewards strategy that also includes annual performance bonus, a long-term incentive plan, full range of benefits and other incentive compensation plans (if applicable) Benefits: • Competitive salary and annual bonus., • Comprehensive benefits package including medical, dental, vision insurance, 401(k) retirement plan with company match, and more., • Generous parental leave and family planning benefits. Deciphera is committed to equal employment opportunity and values diversity. To ensure that we comply with reporting requirements, we invite you complete the confidential survey at the end of this application. Providing this information is optional. It will not be accessible or used in the hiring process, and has no effect on your opportunity for employment. This information will also be treated confidentially. We are committed to make all hiring decisions and other employment decisions on a non-discriminatory basis.

Job Description PROMETRIKA is a full-service clinical research organization (CRO) with extensive experience in clinical operations, data management, biostatistics, medical writing, and pharmacovigilance. We’re driven by our passion for the human aspect of our work and our compassion for the people whose lives have been improved by the innovations we help bring to market. Our clients include national and international biopharmaceutical and medical device companies of all sizes. RESPONSIBILITIES • Having wide-ranging experience, uses professional concepts and company objectives to resolve complex issues in creative and effective ways. Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results, • Provide statistical input for protocol development, study design, and CRF development by actively contributing to study design considerations in internal and client meetings, and providing and discussing sample size scenarios, • Perform sample size calculations and write statistical methodology sections for inclusion in study protocols, • Oversee production and quality control of randomization schedules, statistical analysis plans, statistical reports, statistical sections of integrated clinical reports and other process supporting documents, • Design statistical analysis plans and table shells in accordance with study protocols or for integrated efficacy and safety summaries for New Drug Application (NDA) submissions, • Design analysis file specifications in accordance with the statistical analysis plan and table shells, and CDISC ADaM standards if applicable, • Develop SAS programs to produce and/or QC statistical tables/figures/data listings, • Perform mapping from raw datasets to CDISC SDTM datasets, • Produce and perform quality control of define.pdf, define.xml and annotated case report forms for SDTM submission, • Develop SAS programs to produce and validate analysis datasets in CDISC ADaM or other formats specified by the sponsor and CDISC SDTM datasets from raw data, • Maintains expertise in state-of-the-art statistical analyses, • Review and/or write the statistical and results sections of clinical study reports, • Review and/or assist in writing publications, • Review case report forms and data validation guidelines to ensure quality and integrity of study data collection, • Manage multiple projects, • Provide statistical input for Data Monitoring Committee (DMC) activities, including development of DMC charters and analysis plans, and serve as an independent statistician providing data and analysis support for DMC review, • Provide training and guidance to junior level and new staff, • Understand regulatory requirements related to the specific therapeutic areas and the implications for statistical methodology and analysis, • Support proposal development and attend bid defense meetings, • Review Request for Proposal (RFP) and Scope of Work (SOW) documents, • Understand the SOW, budget and task assumptions, and track work completed versus budgeted tasks, • Manage project budget and forecast resources needed for studies, • MS in Biostatistics, Mathematics, Statistics, Public Health or related discipline required, • Knowledge of SAS statistical computing package is a must, • Knowledge of other database management and statistical software packages is a plus, • Experience with general linear models, mixed models, survival analysis, categorical data analysis and non-parametric methods, • Proficiency in SAS statistical programming, • Knowledge of other statistical and data management software packages is a plus, • Strong written and oral communication skills, • Knowledge and experience with CDISC data standards and models, • Strong project management and mentoring/leadership skills, • In-depth knowledge of applicable clinical research regulatory requirements; e.g., Good Clinical Practice (GCP) and International Conference on Harmonization (ICH) guidelines, • Ability to effectively manage multiple tasks and projects Incumbents generally must be able to, with or without accommodation, have the proficient use of both sensory perception/clarity and muscle control/coordination. This may include vision (near, far, color, glare control), hearing (auditory attention, sound localization), speech, strength, agility, dexterity flexibility, steadiness or reaction time. The salary range for this position here noted is representative of a good faith estimate of all experience levels for this position. PROMETRIKA considers several factors when extending and offer, including but not limited to the role, the function and associated responsibilities, the candidate’s work experience, education/training background and parity with current employees in the same or similar positions.

Department: Data Science Reports to: Head of Data Science Location: Remote, but we will be strongly weighting applicants who are in or willing to move to Austin Applications will be open through early April with an anticipated start date of April 20, 2026. Funga is a public benefit corporation harnessing forest fungal networks to address the climate crisis. We combine modern DNA sequencing and machine learning technology with breakthrough research on the forest microbiome to put the right native, biodiverse communities of mycorrhizal fungi in the right place. This leads to more quality wood created more quickly, more carbon sequestered, and more resilient forests. We serve land partners seeking to implement regenerative forestry practices that improve productivity and sustainability, and corporate carbon buyers building high-quality carbon removal portfolios with strong social and biodiversity outcomes. We’re a team of passionate scientists and builders on a mission to draw down at least three gigatons of carbon dioxide from the atmosphere by 2050. If you are excited by starting new things, learning as you go, and being hands-on in applying your work to the private sector, you will dig working with us. We encourage you to apply even if only some of the below criteria are met - just make sure to tell us why you’re excited about Funga! We are looking for a Data Scientist/Statistician to support our work analyzing forest productivity, and experimental data. You will collaborate with the team to scale our ability to process and interpret ecological and experimental data, contributing directly to Funga’s mission. We need a pragmatic builder who thrives on turning complex raw data into actionable models. This is a role for someone who balances deep scientific rigor with the urgency and velocity required to accelerate our impact. • Perform robust statistical analyses of experimental and observational forest data., • Evaluate and enhance current experimental design by performing power analyses and applying statistical models to multi-year trials., • Rapidly prototype and deploy models connecting forest productivity to soil microbiomes and environmental factors, accounting for spatial and temporal dependencies., • Enhance our carbon accounting system to incorporate incoming field-collected, genomic, and remotely sensed data., • Build and validate pipelines for assessing the effectiveness of satellite and drone datasets for capturing on-the-ground measurements., • Work closely with internal stakeholders on Growth, Applied Science, and other teams to ensure that insights meet their needs and accelerate their work., • Travel up to 10-15% of the time for team offsite events, data collection, and stakeholder meetings as needed., • An MS or Ph.D. in a quantitative field (Statistics, Applied Mathematics, or equivalent experience)., • Demonstrated expertise in hierarchical/mixed-effects models, longitudinal data analysis, repeated measures methods, and spatio-temporal modeling. You know how to handle the autocorrelation and nesting inherent in experimental ecological data., • High proficiency in SQL, R, and Python for data manipulation and modeling., • Practical experience applying machine learning techniques to biological, environmental, or similarly complex systems., • Familiarity with data integration, version control (Git), and reproducible research workflows (e.g. Markdown, Jupyter, Quarto)., • Pragmatism balanced with rigor. You prioritize rigorous, actionable insights over academic perfection. You know when a simple linear model is better than a deep learning model., • A passion for biodiversity, ecosystem health, and climate action., • Background in forest ecology, soil microbial ecology, or experimental design for field trials is a major plus., • Experience with geospatial and remote sensing data analysis is a plus., • NOTE - please apply if you feel you are qualified, but don’t necessarily meet all of the above criteria!, • Make a meaningful impact: Contribute to innovative solutions addressing one of the most pressing global challenges - climate change., • Collaborative environment: Work closely with a diverse team of scientists, foresters, and business leaders who share a common passion for sustainability., • Career growth: Be part of a pioneering company with opportunities for professional development and leadership., • Participate in comprehensive healthcare benefits and employee equity programs. The expected salary range for this role is $90,000 - $130,000 USD, with actual salary based on qualifications and experience. Relocation may be considered for qualified applicants seeking to move to Austin. Funga offers a competitive benefits package including equity in our fast-growing startup; a flexible time off policy; medical, dental, and vision benefits; and a wellness reimbursement program. Our team is in a dynamic growth phase. By joining us at this stage, you can shape our benefits and culture, and participate in our business success!

At Allucent™, we are dedicated to helping small-medium biopharmaceutical companies efficiently navigate the complex world of clinical trials to bring life-changing therapies to patients in need across the globe. We are looking for a Sr. Director, Biostatistical Consulting (SrDBiosC) to join our A-team (office-based*/remote). As a (SrDBiosC) at Allucent, you are responsible for assisting in the coordination of statistical consulting services within the Biostatistics and Statistical Programming Department. This includes management of direct reports, ensuring appropriate resourcing allocation, and supporting business development and proposal needs. This position contributes to the department, the business unit, and Allucent financial and operational goals. The SrDBiosC, interacts with the BIOSC team and Allucent biostatistics and statistical programming team members, direct reports, executive leadership, other Allucent functional groups and business units. This position maintains compliance with relevant SOPs, regulatory guidelines, and client expectations. The SrDBiosC, provides statistical consulting to sponsors to support clinical program development, protocol development, sample size and endpoint selection, regulatory interactions, exploratory analyses, scientific meetings, and executive decisions. The SrDBiosC is a senior member of BIOSC and supervises according to the organizational chart. In this role your key tasks will include: • Provide statistical consulting to sponsors to support clinical program development, protocol development, sample size calculations, endpoint selection, regulatory interactions, exploratory analyses, scientific meetings, and executive decisions, • Provide statistical consulting for complex and/or novel statistical analyses, • Provide statistical consulting to support clinical development strategies, including extensive interface with client executive and leadership teams, • Provide input and support responses to regulatory questions on statistical issues relating to client regulatory submissions, interacting with and attending meetings with regulatory bodies as applicable, • Prepare statistical analysis plans (SAPs) and table, listing, and figure (TLF) mocks for any complexity of study, • Provide senior reviews of statistical documents, data, and outputs for studies of all complexities to ensure quality and integrity, • Execute a statistical analysis of any complexity as specified in a protocol or analysis plan, • Interpret and communicate results for complex statistical analyses and outputs, • Develop and/or review the statistical sections of a study protocol for studies of any complexity level, • Review statistical sections of a clinical study report to ensure accurate descriptions of statistical methods used and results of analyses, • Provide randomization materials including randomization schedules and treatment kit lists per Allucent SOPs and the sponsor-approved specifications, • Develop or review documents for integrated analyses (e.g. ISS/ISE), including integrated SAPs and statistical sections of integrated study reports, • Working knowledge of SAS® for production and validation of datasets and statistical outputs, • Write and review specifications for complex ADaM or analysis datasets · Annotate or review annotations of TLF mocks to assist programming efforts, • Working knowledge of CDISC standards, • Review CRF design to ensure it conforms with the study protocol and analysis needs, • Review data management documents as requested to ensure integrity of study data, • Lead highly complex projects by fulfilling the following responsibilities: communicate with the client and statistical team, set and achieve timelines and milestones, ensure proper execution of the study SAP, monitor programming efforts in collaboration with the lead programmer, and work with management to ensure adequate resourcing, • Function as the lead unblinded statistician for studies and manage unblinded tasks including implementation of interim analyses and participation in DMC/safety review meetings, • Accountable for leading biostatistics and programming activities for a program of studies of high complexity and/or of high value., • Identify high-risk or high-impact deliverables and assign appropriate oversight, • Lead and manage project budgets, support financial reporting for studies, identify of out-of-scope work and provide leadership in change order process, • Collaborate with and verify open communication with other functional areas and business units, • Provide biometrics leadership and coordination across client and other vendor functional areas, including clinical operations, pharmacovigilance, regulatory, and medical writing teams, • Represent Allucent at proposal bid defenses and/or marketing meetings with prospective clients, • Provide key input into project proposals and budgets, • Establish positive relationships with current and future clients, • Identify key accounts and maintain strong long-lasting relationships to win new and repeat business, • Monitor and assure client satisfaction on existing projects for biostatistics and statistical programming, • Contribute to BIOSC, BBU, and corporate marketing activities via blogs, webinars, white papers, and other publications and presentations, • Graduate degree (Master’s degree/local equivalent, or higher) in a relevant discipline including, but not limited to, statistics, mathematics, life science, epidemiology, or healthcare, • Must have strong experience in Bayesian designs specifically in oncology studies., • Minimum 15 years of relevant work experience, • Minimum 10 years of experience in drug development and/or clinical research, • Thorough knowledge of GxP, • Strong familiarity with relevant regulations and guidelines, • GDPR/HIPPA, CFR/CTR/CTD and applicable (local) regulatory requirements, • Working knowledge of computer systems, applications and operating systems, • Demonstration of critical thinking and analytic skills, • Broad knowledge of drug development, • Ability to simplify complex issues into understandable concepts, • Proficient with one or more sample size software packages, • Strong technical skills with proficiency in SAS and/or other statistical programming languages, • Strong written and verbal communication skills including good command of English language, • Collaborative and client-focused, • Ability to work in a fast-paced challenging environment of a growing company, • Administrative excellence, • Strong leadership skills, • Effective at problem solving, strategic thinking and conflict resolution, • Strong presentation and networking capabilities, • Excellent organizational, negotiating and financial skills, • Knowledge of SAS, • Proficiency with various computer applications such as Word, Excel, and PowerPoint, • Strong individual initiative, • Excellent attention to detail and commitment to quality, • Ability to establish and maintain effective working relationships with co-workers, managers, clients, and vendors, • Ability to effectively manage multiple tasks and projects, • Comprehensive benefits package per location, • Competitive salaries per location, • Departmental Study/Training Budget for furthering professional development, • Flexible Working hours (within reason), • Opportunity for remote/hybrid* working depending on location, • Leadership and mentoring opportunities, • Participation in our Buddy Program as a new or existing employee, • Internal growth opportunities and career progression, • Financially rewarding internal employee referral program, • Access to online soft-skills and technical training via GoodHabitz and internal platforms Disclaimers: *Our office-based work policy encourages a dynamic work environment, prescribing a minimum of 2 days in office per week for employees within reasonable distance from one of our ___. “The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively “Allucent”). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources.” #LI-Remote #LI-Hybrid #LI-TCW

Job DescriptionRole Summary • Responsibilities: You will be responsible for leading a range of projects that involve devising and performing statistical analysis plans and then communicating the methodologies and results of these to our clients in the healthcare sector, • Salary: $100,000 per annum, • Benefits: Hybrid working options, generous holiday allowance, flexible working hours, private medical and dental insurance, 401K plan, life insurance, full funding for external training, comprehensive travel insurance and more, • Role Type: Full-time, permanent, • Start Date: We are currently recruiting for start dates throughout 2026 and you will be asked to state your preference on your application form The Senior Statistician will lead statistics projects, working very closely with the Consultant or Team Lead as well as colleagues from all specialities, to ensure that statistics projects are delivered to an exceptionally high standard, on time and in line with client expectations. This involves providing strategic advice to clients at project initiation, supervising the project team and regular interaction with external stakeholders by teleconference, email and in person. The Senior Statistician will also be central to the quality control of the project, involving the review of colleagues' work and the provision of constructive feedback. Our team typically work on several projects at one time and the results of each analysis can feed into publications, value materials, health economic models or health technology assessment submissions. You will therefore be exposed to a wide variety of our service and a broad range of therapeutic areas. To read more about our recent articles and publications, please visit our website: You will also play a key role in contributing to business development by developing and maintaining excellent client relationships and identifying opportunities to provide additional services to clients within projects. There may also be opportunities to line manage and mentor our Statistician Interns. Career Progression Senior Statisticians are supported to progress to the Consultant Statistician role. Consultant Statisticians manage a range of projects and have full responsibility for client communication on projects, as well as leading budgeting plans and business development efforts. In addition to technical project delivery, Consultant Statisticians line manage team members and have internal responsibilities spanning areas such as recruitment and training. To learn more about the personal and professional development opportunities at Costello Medical, explore first-hand career profiles from our colleagues about their experiences with the company: About Costello Medical Costello Medical is a rapidly growing global healthcare agency specialising in medical communications, market access, and health economic and outcomes research. We work with a wide range of clients, including the industry’s most successful pharmaceutical and medical technology companies, patient and public health bodies, and charitable organisations. We have been listed in the Top 100 Best Companies to Work For list since 2017 and were proud to receive B Corporation accreditation in 2022. Learn more about us, our work, and our mission on our website: Requirements About You We are looking for individuals who are collaborative, self-motivated and enthusiastic, with a strong and demonstrable background in the HEOR sector. You will take pride in producing exceptionally high-quality work and will relish the opportunity to build successful client relationships. You will identify and capitalise on opportunities to go above and beyond for clients and exceed their expectations wherever possible. You will be someone who has a genuine desire to play an active role in the development of our growing team. You will enjoy using your experience to train and mentor others and will be skilled at delivering effective feedback to support your colleague’s professional development. You will thrive in a fast-paced environment, be highly organised and able to manage timelines across multiple projects. Additionally, you will be willing to step up and support your project team as needed. This role is suited to those who have professional experience, of typically no less than 2 years, in applying economic and mathematical modelling techniques within an industry setting, ideally within a pharmaceutical, medical devices or consulting company. Specifically, we are looking for candidates with experience: • Working directly with clients from project initiation to completion, • Leading a project team, including delegating tasks and managing the time of others coupled with the ability to manage timelines across multiple projects at once and the flexibility to respond to changing deadlines, • A degree level or higher qualification in a scientific or mathematical discipline (minimum GPA 3.3) is required. A focus on statistics and data analysis is essential, • The technical and mathematical ability, coupled with exceptional written and oral communication skills, to explain complex techniques and results to non-experts, and to teach and mentor others in the Statistics team, • An excellent understanding of and extensive experience in the R programming language, and the willingness and ability to rapidly develop your programming skills, • A willingness to trial, explore or recommend new software or techniques that may suit specific projects, • Exceptional attention to detail and a high degree of accuracy in technical and written work, along with the ability to maintain exceptional customer service and the quality of deliverables under multiple competing demands, • The ability to use your initiative and work independently, in addition to working collaboratively within project teams, • A Masters degree or PhD in a scientific or mathematical discipline, • Experience with Stan, Python, SQL, or other programming languages used for data analysis, • A starting salary of $100,000 per annum, • A discretionary profit share bonus paid twice per year, • Private medical insurance with a company contribution, • Dental and vision cover, • 23 days’ vacation leave increasing by 1 day to a maximum of 27 days. 6 public holidays plus 1 floating holiday, • The chance to work from home for up to half of your working time, • Retirement savings via a 401k plan, • Paid funding for external education and study leave, • Life insurance, • Comprehensive travel insurance, • Flexible and reasonable working hours Then, our recruitment process includes a telephone interview with a member of the Talent Acquisition team, followed by an assessment for you to complete in your own time. If successful, you will be invited to an interview which will include a short presentation you can prepare for in advance. Our standard recruitment process lasts around 1 month, however, this can be adapted if necessary. As an equal opportunity employer, we are committed to fostering a diverse and inclusive workforce and, throughout the recruitment process, there are a number of reasonable adjustments we can provide: Please note that, whilst we embrace AI to innovate and improve processes, your role may involve confidential data that cannot be uploaded to AI. Therefore, it is important for us to assess your own skills and abilities, so we recommend that you do not rely solely on this technology to generate any application materials. Visa Sponsorship We welcome applications from international candidates, but we are unfortunately unable to provide visa sponsorship for working visas. Therefore, you must have the right to work in the US independently from the company. However, we are able to consider those on a temporary visa, such as an OPT visa.

Job DescriptionRole Summary • Responsibilities: In this role, you will gain hands-on experience in critically appraising and interpreting complex statistics, planning and analysing clinical trial data, and synthesising evidence, with one-to-one training and mentoring from our experienced Statistics team, • Compensation: $26 to $32 per hour depending on experience, • Benefits: Generous vacation leave allowance, flexible working hours and the chance to work from home 1 day per week, access to medical, dental and vision insurance, as well as funded social activities, • Role Type: Full-time, 3-month internship, • Start Date: We are currently recruiting for start dates in Summer 2026 and you will be asked to state your availability on your application form This internship is ideal for both graduates and current students who are looking to gain experience in the field of statistics within a commercial environment. You will be presented with the opportunity to apply techniques learned during your academic training to real-world problems in healthcare and medical science. You will work on projects involving data analysis and the communication of both methodologies and results in a variety of publications, value materials, health economic models or health technology assessment submissions. You will typically be working on several projects across a variety of therapeutic areas at any one time, which could include critically appraising and interpreting complex statistical analyses, planning and performing analyses of clinical trial data or synthesising evidence using Bayesian and frequentist (network) meta-analysis techniques. The results of each analysis can feed into publications, value materials, health economic models or health technology assessment submissions. You will therefore be exposed to a wide variety of our services and a broad range of therapeutic areas. Interns receive extensive one-to-one training on the technical aspects of our statistics work, as well as project management and effective client communication. Career Prospects After the Internship During the internship program, individuals performing well may be given the opportunity to extend their internship to 6 months (note that this is dependent on business need). When this happens, it allows our interns to further develop their skills and potentially gain experience of other areas of the company (again, dependent on business need as well as the individual’s interests). Additionally, there is the opportunity for strong candidates to apply for the Statistician role and join our expanding team on a permanent basis. Many of our Statistician Interns move into a permanent role at Costello Medical. To learn more about a typical day for a Statistician at Costello Medical, please click here: Starting Your Career as a Statistician Andrei, a Senior Statistician at Costello Medical, has written an article for the University of Cambridge where he shares his experiences of studying Mathematics at university and seeking a role where he could use his mathematical skills for good, which led him to Costello Medical: About Costello Medical Costello Medical is a rapidly growing global healthcare agency specialising in medical communications, market access, and health economic and outcomes research. We work with a wide range of clients, including the industry’s most successful pharmaceutical and medical technology companies, patient and public health bodies, and charitable organisations. We have been listed in the Top 100 Best Companies to Work For list since 2017, the Boston Globe’s Top Places to Work list in 2025, and were proud to receive B Corporation accreditation in 2022. Learn more about us, our work, and our mission on our website: Requirements About You This internship is suited to recent graduates, as well as current students who are permitted to complete full-time internships either during the holidays or as a placement as part of their degree. In line with the company’s values, the successful applicant will be passionate about improving patient outcomes by applying their statistical knowledge and technical skills to the healthcare industry. Essential requirements for the role are: • An undergraduate degree-level qualification in a scientific or mathematical discipline (minimum/expected 2:1 or equivalent) with a focus on statistics and data analysis. A Master’s or PhD would be highly advantageous, • A high degree of accuracy and attention to detail, • Strong mathematical ability, • Excellent written English, • Advanced skills in Excel, • A good knowledge of programming, with proficiency in R and an understanding of other similar languages. Please note that our recruitment process involves an assessment exercise, which you will be asked to complete using R Many of our team members have successfully made this transition, and they share how their expertise has been transformed into fulfilling, impactful careers with us. Learn more here: What We Offer We offer a competitive hourly rate of $26 to $32 per hour, depending on experience, and you will be entitled to pro-rated vacation days, based on internship length. We are proud to be a certified B Corporation company as this certification is a testament to the exceptional team at Costello Medical and their steadfast commitment to being a force for good. We are therefore eager to welcome individuals who share this vision. We provide exceptional internal training, opportunities to work on pro bono and charitable projects, and regular company-funded social activities. The Application Process You are required to submit your CV and a cover letter via our online application form. In your cover letter, you must explain why you think you would be suited to the role and why you would like to join Costello Medical, with examples to support both. Your CV should clearly state the dates of all qualifications and grades achieved where applicable. The recruitment process begins with a self-recorded video interview which will be reviewed by the Talent Acquisition team. Following this, you will be sent a timed proofreading assessment and a written assessment to complete in your own time. If successful, you will be invited to an interview with senior members of our Statistics team. Our standard recruitment process lasts around 1 month, however, this can be adapted if necessary. As an equal opportunity employer, we are committed to fostering a diverse and inclusive workforce and, throughout the recruitment process, there are a number of reasonable adjustments we can provide: Please note that, whilst we embrace AI to innovate and improve processes, your role may involve confidential data that cannot be uploaded to AI. Therefore, it is important for us to assess your own skills and abilities, so we recommend that you do not rely solely on this technology to generate any application materials. Visa Sponsorship We welcome applications from international candidates, but we are unfortunately unable to provide visa sponsorship for working visas. Therefore, you must have the right to work in the US independently from the company. However, we are able to consider those on a temporary visa, such as an OPT visa.

Job Description Are you looking to join a company where your contributions truly matter, and where you'll be part of a supportive, innovative team? MMS is an award-winning, data-focused clinical research organization (CRO). We pride ourselves on being a Great Place to Work certified organization, recognized for our exceptional culture and industry best employee retention rate. We support the pharmaceutical, biotech, and medical device industries with our proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across four continents, MMS not only maintains an industry-leading customer satisfaction rating but also fosters a collaborative and inclusive work environment where employees can thrive. Join us at MMS and be part of a team that is shaping the future of clinical research. Discover more about our exciting opportunities and why MMS is a great place to advance your career. Visit or follow MMS on LinkedIn. Roles and Responsibilities • Lead complex projects, programs and submissions, manages client meetings, CRMs, collaborates well with regulatory, PMs and sponsors., • Can develop SAPs and iSAPs text and shells with no supervision., • Produce and present external company presentations providing industry visibility for the organization; Continually suggesting solutions to solve issues in tune with organizational direction., • Can review or develop ADAM specifications; can work with programmers and junior statisticians to resolve comments., • High technical level, Subject Matter Expert in biostatistics; willing to guide others in a variety of biostatistical techniques., • Has the ability to apply drug development knowledge during production of complex statistical analyses., • Review or create the statistical section(s) of a Sponsor’s protocol and ensure that the appropriate statistical methods are proposed for the study design and objectives. Provide valuable feedback to the Sponsor on the statistical aspects of the study., • Prepare and review statistical methods and results sections for the CSR independently in collaboration with in-house medical writers., • Demonstrate an understanding of project management-related tasks such as timelines, scope and resource requirement estimation/management., • Perform sample size calculations for a variety of scenarios and study designs. Can provide statistical consulting support to sponsors re study design and sample size calculations., • Ability to create randomization and kit schedules independently, collaborate with sponsor, randomization and drug supply management teams., • Understand the various tools that we work with and able to use them correctly (for SCM: checks in/out; use of external SharePoint)., • Provide support to Data Safety Monitoring Boards (DSMB) by preparing and presenting output as the unblinded statistician., • Is familiar with and stays current with the latest industry practices and updated regulatory guidelines., • Write blogs and/or white papers for posting on the company website.Requirements, • Masters in Biostatistics, Statistics discipline or related field, or related experience, PhD preferred., • Minimum of 7 years’ experience in Biostatistics, Statistics or similar field required., • Submission experience (ISS/ISE)., • Has high level knowledge of drug development as it pertains to biostatistics., • Expert knowledge of scientific principles and concepts., • Good communication skills and willingness to work with others to clearly understand needs and solve problems., • Good organizational skills., • High proficiency with MS Office applications., • Hands-on experience with clinical trial and pharmaceutical development preferred., • Excellent problem-solving skills., • Familiarity with current ISO 9001 and ISO 27001 standards preferred., • Familiarity with 21 CFR Part 11, FDA, and GCP requirements. OmdksPFp6N

Job DescriptionAre you looking to join a company where your contributions truly matter, and where you'll be part of a supportive, innovative team? MMS is a award-winning, data-focused clinical research organization (CRO). We pride ourselves on being a Great Place to Work certified organization, recognized for our exceptional culture and industry best employee retention rate. We support the pharmaceutical, biotech, and medical device industries with our proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across four continents, MMS not only maintains an industry-leading customer satisfaction rating but also fosters a collaborative and inclusive work environment where employees can thrive. Join us at MMS and be part of a team that is shaping the future of clinical research. Discover more about our exciting opportunities and why MMS is a great place to advance your career. Visit or follow MMS on LinkedIn. As part of our Strategic Statistical Services Arm, this is a full-time role with emphasis on being an internal and external SME for clinical trial design, together with providing consultation to advise clients on a range of broader statistical issues, and will have an internal job title of Strategic Statistician. Job Description: Our experienced statisticians and programmers develop intellectual property and assets to support the design and analysis of clinical trials, precision medicine and real-world data analytics. We address the emerging analytics needs of the Industry with our biostatistics services, bespoke algorithms and unique, state of the art, proprietary, cloud-based trial simulation software KerusCloud. Working alongside innovative statisticians you will be responsible for leading the full life-cycle of KerusCloud support and statistical services, from: • Assisting customers with their study design with a particular focus on simulation with KerusCloud to ensure they are aligned with the study objectives., • Preparation of study protocols and development of Statistical Analysis Plans and Statistical Analysis Reports., • Summarize, analyze and visualize study data using a variety of statistical methods, ultimately delivering results to an agreed timeline with optimal quality., • Provide statistical consultancy support to sponsors across the full span of clinical development, including oversight of third-party statistical and programming deliverables., • Maintain current knowledge of relevant research techniques such as modelling, simulation and experimental design and participate in continuous professional development activity., • Support pre-sales discussions to understand and identify client needs, then contribute to technical solutions and resource/ cost estimates., • Collaborate with the Product Development team defining key features and statistical aspects of KerusCloud., • Bachelors degree in mathematics, statistics, physics, pharmacology or with a strong statistical component, Masters or PhD preferred., • 5-7 years of experience in the application of medical statistics (pharma, CRO, academic)., • Willingness to engage with clients to understand and research problems and provide creative, business-orientated solutions., • Experience in delivering customer projects to high quality standards., • Experience in SAS and/ or R statistical software packages., • Experience in study design and protocol and report-writing preferred., • Experience of modelling and simulation techniques to explore complex study designs preferred., • Experience of Bayesian approaches to design and analysis of clinical data preferred. 0XtFiLDaKY

Job DescriptionRole Summary • Responsibilities: You will be responsible for devising and performing statistical analysis plans and then communicating the methodologies and results of these to our clients in the healthcare sector, • Salary: $75,000 to $80,000 depending on qualifications, education and previous experience, • Benefits: Discretionary profit share bonuses paid twice per year, hybrid and flexible working options, generous vacation allowance, private medical and dental insurance, 401K plan with up to a 5% employer contribution, life insurance, full funding and study leave for external training and more, • Role Type: Full-time, permanent, • Start Date: We are currently recruiting for start dates in early 2026 and you will be asked to state your availability on your application form, • Application Deadlines: Whilst there are no set application deadlines, we strongly recommend applying as early as possible. The role, or particular start dates, may close when suitable candidates are found You will work in project teams alongside colleagues from all specialities to ensure that statistics projects are completed to an exceptionally high standard, on time and in line with client expectations. You will receive training in the technical aspects of the role, project management skills and effective client communication. Delivering project work requires close collaboration with clients and, following a successful induction period, you will increasingly participate in client calls and face-to-face meetings with external stakeholders. Our team typically work on several projects at one time and the results of each analysis can feed into publications, value materials, health economic models or health technology assessment submissions. You will therefore be exposed to a wide variety of our services and a broad range of therapeutic areas. To read more about our recent articles and publications, please visit our website: Hybrid Working Policy: We believe that having face-to-face time in the office holds many benefits and is central to ensuring that the community we have created, where people have a workplace they belong to and feel part of, is never lost. At the same time, we recognize that homeworking can improve work life balance, reduce commuting times and costs, and provide the opportunity to juggle personal commitments. Therefore, we offer flexible working arrangements that allow our colleagues to work from home for up to half of the time, measured across a 2-week rolling period. Please note that as part of our wider flexible working policy, employees may work outside of Massachusetts for up to 4 weeks annually A Day in the Life of a Statistician To learn more about a typical day for a Statistician at Costello Medical, please click here: Career Profile We offer many opportunities for personal and professional development at Costello Medical. Please click below to read firsthand accounts from our colleagues about their time with the company: About Costello Medical Costello Medical is a rapidly growing global healthcare agency specializing in medical communications, market access and health economic and outcomes research. We work with a wide range of clients, including the industry’s most successful pharmaceutical and medical technology companies, patient and public health bodies and charitable organizations. We have been listed in the Top 100 Best Companies to Work For list since 2017, the Boston Globe’s Top Places to Work list in 2025, and were proud to receive B Corporation accreditation in 2022. Please click here to learn more about us, our work and our mission: Requirements About You The successful candidate will be someone who enjoys problem solving and thinking outside the box to develop innovative solutions. In line with the company’s values, you will be passionate about improving patient outcomes by applying your statistical knowledge and technical skills to the healthcare industry. Essentialrequirements for the role are: • A degree level or higher qualification in a scientific or mathematical discipline (minimum GPA 3.3) with a focus on statistics and data analysis., • Proficiency in the R programming language, and the willingness and ability to rapidly develop your programming skills, • The technical and mathematical ability, coupled with the written and oral communication skills, to explain complex techniques and results to non-experts, • A willingness to trial, explore or recommend new software or techniques that may suit specific projects, • A high degree of accuracy and attention to detail, along with the ability to maintain a high level of customer service and the quality of deliverables under multiple competing demands, • A high level of organisation, with the flexibility to respond to changing deadlines, • The ability to use your initiative and work independently, in addition to working collaboratively within project teams, • A Masters degree or PhD in a scientific or mathematical discipline, • Experience with Python Stan, SQL Many of our team members have successfully made this transition, and they share how their expertise has been transformed into fulfilling, impactful careers with us. Learn more here: Benefits What We Offer Alongside our award-winning company culture, where every team member is celebrated, respected, and has their voice heard, our comprehensive benefits package includes: • A starting salary of $73,000 to $76,000 per annum, depending on your qualifications and previous experience, as well as a discretionary profit share bonus paid twice per year. Please note that we have established salary bands that ensures a fair and consistent approach for all applicants, eliminating the need for individual negotiations, • 23 days’ vacation leave increasing by 1 day each year to a maximum of 27 days. 6 public holidays plus 1 floating vacation day to use on a holiday of your choosing, • Flexible, reasonable working hours and the chance to work from home for up to half of your working time, • Private medical insurance with a company contribution, as well as dental and vision cover and life insurance, • Retirement savings via a 401k plan with up to a 5% employer match, • Paid funding for external education and study leave Our recruitment process includes a telephone interview with a member of our Talent Acquisition team. Following this, you will also be sent a technical assessment, using R programming, and a proofreading exercise that we ask you to complete in your own time. If successful, you will be invited to an interview which will include a short presentation you can prepare for in advance. Our standard recruitment process lasts around 6 weeks, however, this can be adapted if necessary. As an equal opportunity employer, we are committed to fostering a diverse and inclusive workforce and, throughout the recruitment process, there are a number of reasonable adjustments we can provide. Please click here to learn more. Please note that, whilst we embrace AI to innovate and improve processes, your role may involve confidential data that cannot be uploaded to AI. Therefore, it is important for us to assess your own skills and abilities, so we recommend that you do not rely solely on this technology to generate any application materials. Visa Sponsorship We welcome applications from international candidates, but we are unfortunately unable to provide visa sponsorship for working visas. Therefore, you must have the right to work in the US independently from the company. However, we are able to consider those on a temporary visa, such as an OPT visa

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