research statistician

Aga Khan University

<div><div>Research Associate (Statistician), Paediatrics &amp; Child Health - (2500032Q)</div><div><div><br>
</div><p><b>Introduction:</b></p><p>
The Outreach and Research Programme of the Department of Paediatrics and Child Health has ten community-based field sites across Pakistan (including four in Karachi) and focuses on research for betterment of women and child health. The Department has a Nutritional Research Laboratory as well as an Infectious Disease Research Laboratory that cater to the needs of its research projects. It has well-acclaimed work to its credit both at the national and international level.</p><p>
As an equal opportunity employer, AKU believes in promoting a diverse and inclusive culture and is committed to adopt appropriate standards for safeguarding and promoting a respectful relationship with and between diverse workforce of its faculty, staff, trainees, volunteers, beneficiaries, wider communities, and other stakeholders with whom it works, including children and vulnerable adults and expects all employees/trainees and partners to share this commitment.</p><p><b>
Responsibilities:</b></p><p>
You will be responsible to analyse and interpret data from research projects; prepare descriptive tables; check data for inaccuracies; data cleaning and management and report results of statistical analyses. Specific responsibilities will be to:</p><ul><li><div>
provide statistical and analytical support to the research team</div></li><li><div>
coordinate with the project teams and independently manage all complex statistical aspects of research</div></li><li><div>
projects.</div></li><li><div>
analyze and evaluate statistical results, prepare derived datasets for the analysis using statistical</div></li><li><div>
packages like Stata, R and python</div></li><li><div>
provide Expertise in data management, data mining and prepare statistical reports with interpretation</div><div>
for manuscript publications.</div></li><li><div>
collaborate with funding agencies such as WHO and BMGF on analysis of multi-site studies</div></li><li><div>
prepare statistical contribution to Integrated Study Report;</div></li><li><div>
develop project analysis plan, including computer-generated table specifications, statistical analysis</div></li><li><div>
plan, and research report format;</div></li><li><div>
use statistical techniques and models to forecast results, trends and needs;</div></li><li><div>
prepare project summaries for weekly/monthly status meetings;</div></li><li><div>
prepare any other official assignments given by the supervisor(s)</div></li><li><div>
analyse and interpret data from research projects and prepare descriptive tables;</div></li><li><div>
check data for inaccuracies, Data Cleaning &amp; Management;</div></li><li><div>
report results of statistical analyses, including information in the form of graphs, charts, and tables;Requirements.</div></li></ul></div><div></div><div><div><br>
</div><p><b>Requirements:</b></p><p>
You should have:</p><ul><li><div>
minimum 1-2 years of experience;</div></li><li><div>
experience in the field of Research &amp; public health will be an added advantage</div></li><li><div>
4 years graduation or Masters in Statistics</div></li><li><div>
excellent Command on SPSS/Stata and other Statistical Packages;</div></li><li><div>
proficient in Spread sheets and power point presentation;</div></li><li><div>
sound knowledge of Databases and programming;</div></li><li><div>
strong verbal and written communication skills.</div></li></ul><p>
Comprehensive employment reference checks will be conducted.</p><p><b>
Disclaimer:</b></p><p>
The Aga Khan University is committed to the principles of equal employment opportunity for all employees and to providing employees with a work environment which is free from discrimination and harassment. All employment decisions at AKU are based on business needs, job requirements and individual&rsquo;s qualifications and experience, without regard to race, colour, caste or creed, national, social or ethnic origin, gender (except where gender is a bona fide occupational qualification). AKU does not discriminate among the job candidates on account of any of these characteristics.</p><div><br>
</div></div><div>
Primary Location: Pakistan-Karachi</div><div>
Organisation: Aga Khan University Pakistan</div><div>
Employee Status: Contractual</div><div>
Job Type: Experienced</div><div>
Job Posting: 24/10/2025, 4:48:30 AM</div><div>
Closing Date: 31/10/2025, 1:59:00 PM</div></div>

Research Associate (Statistician), Paediatrics & Child Health

Genius Sports

<div>
 <p>
  <strong>
   JOIN OUR TEAM AT GENIUS SPORTS!
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   WHO ARE WE?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Genius Sports is the official data, technology, and commercial partner driving the connection between sports, betting, and media on a global scale. Our mission is to create a more sustainable sports data network powered by rich, official live data. To achieve this, we're seeking enthusiastic Statisticians to join our team and collect match data while attending live sporting events.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ARE YOU PASSIONATE ABOUT FOOTBALL?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you love football and want to be part of the action while getting paid, this is your opportunity! We are looking for individuals in the
  <strong>
   Al-Rustaq, Oman
  </strong>
  area to collect official live data from football events across the
  <strong>
   Oman Professional League
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  As a Statistician, you will use our user-friendly smartphone-enabled software to report live events, including every shot, goal, tackle, and save. Don&rsquo;t worry if you lack previous reporting experience - we provide comprehensive e-learning courses and practical training to ensure you&rsquo;re fully prepared to cover live games. This is the perfect chance for sports enthusiasts to earn extra income while doing something they love.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   WHAT WE OFFER:
  </strong>
 </p>
 <ul>
  <li>
   Guaranteed base pay of &euro;40 per game
  </li>
  <li>
   A performance-based reward system
  </li>
  <li>
   Coverage of travel expenses
  </li>
 </ul>
 <p>
  If you&rsquo;re eager to immerse yourself in the world of sports and want to be part of our global network of statisticians, we want to hear from you!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   JOB REQUIREMENTS:
  </strong>
 </p>
 <ul>
  <li>
   Basic level in English
  </li>
  <li>
   Regular availability for a few hours on weekends and weekday evenings
  </li>
  <li>
   Familiarity with using a smartphone
  </li>
  <li>
   Willingness to travel
  </li>
  <li>
   A strong knowledge of football
  </li>
  <li>
   Reliability, commitment, organization, and integrity
  </li>
  <li>
   Exceptional attention to detail
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   GET TO KNOW US:
  </strong>
 </p>
 <p>
  For more information about our mission and values, visit:
  <u>
   Genius Sports
  </u>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ARE YOU READY TO JOIN THE GENIUS SPORTS TEAM?
  </strong>
 </p>
 <p>
  If you&rsquo;re excited about this opportunity, we&rsquo;d love to hear from you! Apply now and become a vital part of our team!
 </p>
</div>


Sports Statistician (Data Collection)

Unilever

<div><p><b>ABOUT UNILEVER
</b></p><p>With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people &ndash; we believe that when our people work with purpose, we will create a better business and a better world.</p><p></p><p><b>
Job Brief:</b></p><div>
The Clinical Biostatistics group is responsible for delivering leadership and expertise in the use of Statistics and Data Analytics across the Beauty &amp; Wellbeing and Personal Care (BW &amp; PC) Clinical Program. For Statistics this covers support in statistical design of clinical studies, statistical analysis, visualization of data and interpretation and reporting of results. Additionally, the group provides expertise in clinical data mining and modelling, and biostatistics support to the BWPC R&amp;D cross functional teams with respect to the clinical program and related areas. The group delivers via a highly skilled team that is aligned to specific program areas within BPC and works in close partnership with Clinical researchers as well as BWPC Science &amp; Technology (S&amp;T), Global Design, Category Design, and Cluster Design teams on a global level.<br>
<br>
<b>Requirements &amp; Qualifications:</b> The candidate should ideally have at least a master&rsquo;s degree in Statistics/Biostatistics, with three to six years&rsquo; experience in research or the FMCG/Pharmaceutical industries, although applications from less experienced candidates will be considered. Proficiency in SAS and R is essential, including the ability to automate routine tasks, develop macros, and build applications. Strong written and verbal communication skills are also required.<br>
<br>
<b>Responsibilities:</b><br>
<ul><li>Engagement and collaboration with globally deployed, multi-disciplinary teams to design and implement efficient, well-focused, statistically fit-for-purpose studies, analyse, visualise and interpret data.</li><li>Work in inter-disciplinary teams that includes clinical study experts, measurement scientists, bioinformaticians, and other statisticians, both within Unilever and with external partners.</li><li>Provision of statistical expertise across a range of R&amp;D disciplines to define and implement statistical solutions.</li><li>Deliver high quality statistical programming deliverables for all assignments that consistently meets study timelines, quality standards.</li><li>Responsibility for the quality and defensibility of study designs, statistical analyses, models and data interpretation.</li><li>Perform exploratory data analyses of clinical studies and reporting as required.</li><li>Follow all standard practices as per SOP&rsquo;s and guidance documents.</li></ul><br>
<b>
Key Accountabilities:</b><br>
<ul><li>Works as a member of a team to design and/or review protocols, case report forms, and other key study documents</li><li>Write and review statistical sections and other relevant parts of study synopses and protocols</li><li>Performs relevant sample size calculations</li><li>Design randomization plans and generates random allocation lists</li><li>Develops statistical analysis plans including analysis files and data reporting specifications</li><li>Develops appropriate statistical methods for data analysis and ensures the accuracy and reproducibility of data sets and analyses of clinical study data</li><li>Follows relevant work practices and procedures and organizational SoPs</li><li>Working closely with mutli-disciplinary teams to ensure a complete review of the data, providing a thorough understanding of statistical processes and issues that may arise in analysis</li><li>Plan the statistical analyses, programming and execution of the analyses, instructing and reviewing statistical planning and analysis work</li><li>Perform hands-on data analysis and modeling of obtained data to provide outputs that will guide in decision making through various stages of project</li><li>Liaises with other statisticians and scientists in areas of expertise and experience and ensures continuous improvement for themselves and the broader team via sharing of approaches and best practices;</li><li>Provides statistical consultancy as required to the R&amp;D programme.</li><li>Engages and collaborates with globally deployed, multi-disciplinary teams to design and implement efficient, well-focused, statistically fit-for-purpose studies. Teams may include clinicians, measurement scientists, bio scientists, product formulators, claims experts, and others;</li><li>Acts as secondary contact (supporting the Lead Statistician for the area) across multiple primary research areas (e.g. Skin Face Care, Microbiome, Skin cleansing, Hair Care, Oral, etc.);</li></ul></div><p></p><p><b>
Our commitment to Equality, Diversity &amp; Inclusion</b></p><p>
Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.</p><p></p><p><i>
&quot;All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent&mdash;please verify before proceeding.&quot;</i></p></div>

R&D Executive - Statistician

Amgen

<div><p>Join Amgen&rsquo;s Mission of Serving Patients</p><p>
At Amgen, if you feel like you&rsquo;re part of something bigger, it&rsquo;s because you are. Our shared mission&mdash;to serve patients living with serious illnesses&mdash;drives all that we do.</p><p>
Since 1980, we&rsquo;ve helped pioneer the world of biotech in our fight against the world&rsquo;s toughest diseases. With our focus on four therapeutic areas &ndash;Oncology, Inflammation, General Medicine, and Rare Disease&ndash; we reach millions of patients each year. As a member of the Amgen team, you&rsquo;ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.</p><p>
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you&rsquo;ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.</p><p></p><p><b>
Principal CMC Statistician</b></p><p></p><p><b>
What you will do</b></p><p>
Let&rsquo;s do this. Let&rsquo;s change the world. In this vital role you will contribute to Amgen&rsquo;s pipeline of new molecules and commercial products, that are treating serious illnesses and transforming lives.</p><p>
The Principal CMC Statistician will use their expertise to implement statistical tools and techniques with science-based practices used throughout the product life cycle. The statistician will provide multi-functional support to clinical and commercial manufacturing sites in the network including statistical support for activities such as process characterization and monitoring programs, analytical methods, specifications, and investigations.</p><p>
The statistician may also support the development of delivery devices, where they will provide statistical analysis, study designs, acceptance sampling plans and acceptance criteria for the development, qualification and transfer of physical test methods. They will also establish appropriate study designs and carry out evaluation of acceptance criteria for Design Verification testing ensuring that the overall program is aligned with Amgen and Regulatory/ISO requirements.</p><p>
Finally, the candidate will support to continuous improvement efforts across Amgen&rsquo;s networks, leading to harmonization, efficiency gains and scientific innovation and, administration of statistical training for Amgen&rsquo;s engineers and scientists.</p><ul><li><p>
Acts as a technical lead in the development, implementation and maintenance of statistical tools used to support product life cycle activities. This may include, drafting/updating white papers, writing standardized SAS and/or R code, outlining report templates, and aligning relevant SOPs.</p></li><li><p>
Provides continuous statistical support to a site or functional group by collaborating with technical associates to develop an experimental study, perform statistical analysis, and document results in a technical report that aligns with Amgen&rsquo;s document control system and has statistical integrity.</p></li><li><p>
Supports regulatory audits by interacting with technical staff to answer questions during on- site inspections; and provides written responses to clarify a statistical approach or perform additional analysis to support a Request for Information, as required.</p></li><li><p>
Participates in improvement efforts to promote statistical techniques used in biologics and monoclonal antibodies processes; and mentors and guides statistical techniques and software tools to technical associates.</p></li><li><p>
Stays up to date on biotechnology industry trends, standard processes, guidance documents and participates in external conferences, as appropriate.</p></li></ul><p></p><p><b>
What we expect of you</b></p><p>
We are all different, yet we all use our unique contributions to serve patients. The highly motivated professional we seek is a passionate individual with these qualifications.</p><p></p><p><b>
Basic Qualifications:</b></p><ul><li><p>
Doctorate Degree in Applied Statistics, Industrial Statistics or Non-clinical Biostatistics and 2 years of applied statistics experience <b>OR</b>,</p></li><li><p>
Master&rsquo;s Degree in Applied Statistics, Industrial Statistics or Non-Clinical Biostatistics and 8 to 10 years of applied statistics experience <b>OR</b>,</p></li><li><p>
Bachelor&rsquo;s Degree in Applied Statistics, Industrial Statistics or Non-Clinical Biostatistics and 10 to 14 years of applied statistics experience <b>OR</b>,</p></li><li><p>
Diploma in Applied Statistics, Industrial Statistics or Non-Clinical Biostatistics and 14 to 18 years of applied statistics experience</p></li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li><p>
Post-graduate degree with 6+ years&rsquo; experience in Biopharma manufacturing and control</p></li><li><p>
Proficient in statistical tools and techniques commonly used in biopharma manufacturing operations, such as, Design of Experiments, Statistical Process Control, Process Capability Analysis, Measurement System Analysis, Acceptance Sampling Plans, Non-linear and Linear Regression, Significance Tests, and Simulation.</p></li><li><p>
Proficient in SAS and/or R programming (data manipulation techniques, macro, statistical and graphical PROCs, and ODS) and JMP statistical software</p></li></ul><p></p><p><b>
What you can expect of us</b></p><p>
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being.</p><ul><li><p>
Vast opportunities to learn and move up and across our global organization</p></li><li><p>
Diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act</p></li><li><p>
Generous Total Rewards Plan comprising health, finance and wealth, work/life balance, and career benefits</p></li></ul><p>
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.</p><p></p><p><b>
Apply now</b></p><p><b>
for a career that defies imagination</b></p><p>
Objects in your future are closer than they appear. Join us.</p><p><b>
careers.amgen.com</b></p><p></p><p>
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.</p><p>
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.</p><p>
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.</p></div>

Principal CMC Statistician

ROZEE.PK

<div><div><div><div><b>PLEASE DON NOT APPLY ONLINE</b></div>
<div><b>
Purpose of the APW</b></div>
<div>
The aim of this assignment is to develop a detailed implementation plan for a comprehensive index for measurement of women&rsquo;s health and development status in Low- and Middle-income countries to be piloted in Pakistan at federal and provincial levels.</div>
<div><b>
Background</b></div>
<div>
Women and girls comprise roughly half of Pakistan&rsquo;s population but face persistent challenges in a patriarchal society. Factually, sustainable development and inclusive growth hinge on the full participation and empowerment of women. Existing frameworks for measuring women&rsquo;s health focus predominantly on clinical and mortality outcomes without integrating the multidimensional nature of women&rsquo;s health determinants like socio-economic, environmental factors, harmful practices and gender-based violence which uniquely and disproportionately affect women intergenerationally at global and local levels. This gap limits the ability of policymakers and health systems to develop effective equitable interventions that account for the real needs of women particularly in LMICs.</div>
<div>
WHO Pakistan being part of the Women&rsquo;s Health Metrics Learning Cohort under Gates Foundation Grand Challenges 2025 on Innovative Data and Modeling Approaches to Measure Women's Health, is developing a Women&rsquo;s Health &amp; Development Index (WHDI). By integrating health outcomes with intersectional domains like socio-economic, cultural, political and environmental determinants, WHDI will provide a multidimensional measure revealing disparities nationally and sub-nationally. It will enable targeted, equity-focused policymaking, track SDG progress, and strengthen advocacy for investment in women&rsquo;s health &amp; development. With this background, WHO Pakistan is engaging a Health Statistician to support in development of a detailed action plan for the WHDI development with intention to pilot at federal and provincial levels in Pakistan.</div>
<div><b>
Key objective: </b>To provide technical expertise as Health Statistician for the development of detailed implementation plan on WHDI using available indicators/proxy indicators at national and sub-national levels.</div>
<div><b>
Scope of work:</b></div>
<div>
The APW holder will be responsible for the following task:</div>
<div>
<ul><li>Development of conceptual framework and mapping of data from existing sources;</li></ul>
<ul><li>Provide support in establishment of the technical Advisory group (TAG)</li></ul>
<ul><li>Coordinate with relevant stakeholders and partners for data collection.</li></ul>
<ul><li>Review, analyse and generate reports on key indicators related to women&rsquo;s health and development, in consultation with the TAG</li></ul>
<ul><li>Share monthly updates for sharing with supervisor and facilitating in the achievement of program related objectives.</li></ul>
<ul><li>Perform any other tasks assigned by the supervisor as per the program activities.</li></ul>
</div>
<div><b>Planned timelines (tentative)</b></div>
<div>
Start date: 01/11/2025</div>
<div>
End date: 31/12/2025</div>
<div><b>
Deliverables and timelines</b></div>
<div><b>
Deliverables:</b></div>
<div><b>
First Deliverable: </b>Signing of contract</div>
<div><b>
Payment Schedule: </b>0%</div>
<div><b>
Second Deliverable: </b>Detailed implementation plan for WHDI by 30 November 2025.</div>
<div><b>
Payment Schedule: </b>50%</div>
<div><b>
Third Deliverable: </b>Notification of Technical Advisory Group.</div>
<div><b>
Payment Schedule: </b>50%</div>
<div><b>
Technical Supervision: </b>The selected consultant will work under the direct supervision of:</div>
<div><b>
Responsible Officer: </b>Technical Officer RMNCAH</div>
<div><b>
Manager: </b>Public Health Specialist (Health Promotion and Determinants)</div>
<div><b>
Qualifications and Expertise:</b></div>
<div>
Qualifications required</div>
<div>
Individual consultant/firm: At least Master&rsquo;s degree in Statistics or Public Health or Information Technology (IT). Demonstrable knowledge of Health Information Systems, public health/primary health care issues in Pakistan.</div>
<div>
Experience required</div>
<ul>
<li>At least 4-5 years of similar work experience in Pakistan and experience of working with government and/or UN agencies.</li>
<li>Excellent interpersonal oral communication, and documentation skills.</li>
<li>Ability to meet tight deadlines and to work effectively under pressure.</li>
<li>Computer skills and report writing skills.</li>
<li>Demonstrated experience in managing and analysing large datasets.</li>
<li>Strong research and analytical skills, with the ability to gather and synthesize information from various sources.</li>
<li>Proficiency in relevant software applications for data analysis, report writing, and visual presentation.</li>
</ul>
<div><b> </b>Language requirements</div>
<ul>
<li>Fluent in English (reading, speaking and writing)</li>
<li>Knowledge of local languages for effective communication at field level.</li>
</ul>
<div><b>Place of assignment</b></div>
<div>
The selected candidate will be based in Islamabad. (field travel may be required)</div>
<div><b>
To Apply</b></div>
<div>
Interested Consultants/ Firms are required to submit a proposal.</div>
<div><b><i>
Do not apply online:</i></b> The Technical and Financial Proposals are required to be submitted in separate sealed envelopes on the following address with the title of assignment on envelope by COB 29 Oct 2025.</div>
<div><b>
Address:</b> c/o Team Lead HPLC, WHO Country Office Pakistan, NIH Premises Park Road, Chak Shehzad, Islamabad.</div><br>
<br>
<br>
</div><div></div><div><h4 class="jobSectionHeader"><b>TOTAL POSITIONS</b></h4>
<p>1</p>
<h4 class="jobSectionHeader"><b>POSTED ON</b></h4>
<p>October 22, 2025</p>
<h4 class="jobSectionHeader"><b>EXPIRY DATE</b></h4>
<p>October 29, 2025</p>
<h4 class="jobSectionHeader"><b>BUSINESS</b></h4>
<p>WHO</p>
<h4 class="jobSectionHeader"><b>CATEGORY</b></h4>
<p>Health &amp; Medicine</p>
<h4 class="jobSectionHeader"><b>JOB TYPE</b></h4>
<p>APW</p>
<h4 class="jobSectionHeader"><b>MINIMUM EDUCATION</b></h4>
<p>Masters
</p><h4 class="jobSectionHeader"><b>CAREER LEVEL</b></h4>
<p>APW (Agreement for Performance of Work)
</p><h4 class="jobSectionHeader"><b>MINIMUM EXPERIENCE</b></h4>
<p>5 Years(Please refer to the JDs section for complete information on the experience.)</p></div></div></div>

AGREEMENT FOR PERFORMANCE OF WORK (APW)

Barings

<div><div>At Barings, we are as invested in our associates as we are in our clients. We recognize those who work diligently for us and reward them for personal and professional integrity, communication skills, distinct competencies and expertise in specific strategies, ability to collaborate as a team member and true dedication to the interests of our clients.</div><div></div><div>
We thank you for your interest in joining the Barings team, and invite you to explore our current employment opportunities.</div><div></div><div>
Title: Statistician/Data Scientist - Director</div><div>
Corporate Title: Director</div><div>
Department: Residential - ABF</div><div>
Location: Charlotte, NC</div><div></div><div><i>
Job Summary</i></div><div>
Barings ABF group specializes in a range of public and private asset based investments, primarily residential mortgage related. Our team combines deep industry expertise with advanced analytics to make informed investment decisions and create value for our clients. We are seeking a talented and experienced Statistician to join our analytics and modeling team to support the company's asset-based investment strategies, with an initial focus on residential mortgage assets. The Statistician will be responsible for conducting advanced statistical analysis, sourcing new and relevant data for internal databases, developing and implementing predictive models, and supporting decision-making in the asset-based investment space. This role requires expertise in statistical modeling, data analysis, and machine learning, with the ability to work closely with cross-functional teams to extract insights from complex consumer and mortgage-related data. The position will reside in our Charlotte, NC office.</div><div></div><div><i>
Primary Responsibilities</i></div><ul><li>
Develop and implement statistical models to analyze trends, risks, and opportunities in residential mortgage investments.</li><li>
Design, manage and optimize large-scale datasets, (e.g., historical mortgage data, borrower behavior, housing market data, interest rate changes, and other macroeconomic factors) to ensure high-quality data availability for modeling, surveillance and analysis.</li><li>
Oversee the integration of data from various sources, ensuring data quality, accuracy, and consistency.</li><li>
Apply machine learning algorithms such as regression trees, random forests, support vector machines, and neural networks to enhance predictive capabilities.</li><li>
Collaborate with internal teams (e.g., portfolio managers, capital market analysts, risk managers, and structurers) to interpret model results and provide actionable insights for investment decision-making.</li><li>
Conduct risk analysis and stress testing using both traditional and machine learning-based methods to evaluate portfolio resilience under various economic scenarios.</li><li>
Communicate complex statistical and machine learning concepts to non-technical stakeholders.</li><li>
Conduct deep learning and AI-based model experimentation to improve accuracy and scalability of mortgage performance forecasting as well as improve servicing oversight.</li><li>
Stay up-to-date with the latest developments in statistical methodologies, machine learning, artificial intelligence, and trends within the mortgage and investment sectors.</li></ul><div></div><div><i>
Qualifications</i></div><ul><li>
Master's or Ph.D. degree in Statistics, Mathematics, Engineering, Data Science, or a related field.</li><li>
5+ years of experience in statistical modeling, data analysis, and/or quantitative finance within a financial field, with direct experience in residential mortgages or similar assets a plus.</li><li>
Expert proficiency in statistical analysis software and coding (e.g., R, SAS, Python, MATLAB).</li><li>
Strong knowledge of statistical modeling techniques such as regression analysis, time-series modeling, survival analysis, and machine learning.</li><li>
Proficiency in machine learning algorithms (e.g., random forests, gradient boosting machines, support vector machines, neural networks) and frameworks</li><li>
Experience with data manipulation and visualization tools (e.g., SQL, Tableau, R, Power BI).</li><li>
Proven ability to analyze large, complex datasets and extract meaningful insights that drive strategic decisions.</li><li>
Strong problem-solving skills with the ability to design solutions for modeling complex issues, such as prepayment risk, credit risk, and liquidity risk, using both traditional statistical methods and machine learning techniques.</li><li>
Ability to communicate complex statistical concepts in a clear and concise manner to non-technical stakeholders.</li><li>
Strong collaboration skills and the ability to work cross-functionally with internal teams, including risk, portfolio management, and capital markets.</li><li>
Strong attention to detail and a focus on data integrity.</li><li>
Ability to handle multiple tasks and prioritize effectively in a fast-paced environment.</li></ul><div>
#LI-JB1</div><div></div><div>
Requisite Skills</div><div></div><div>
Additional Skills</div><div></div><div><i>
Barings is an Equal Employment Opportunity employer; </i><i>Minority/Female/Age/Sexual</i><i> Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply.</i></div><div></div><div><i>
Barings offers a comprehensive benefits package including:</i></div><div></div><div>
CORE BENEFITS &amp; WELLNESS</div><ul><li>
Medical (including Virtual Care), Prescription, Dental, and Vision Coverage</li><li>
Fitness Center Reimbursement Program (Including Online Memberships)</li><li>
Employee Assistance Program (EAP)</li><li>
Fertility Benefits</li></ul><div></div><div>
FINANCIAL WELL-BEING</div><ul><li>
Highly competitive 401(k) Plan with Company Match</li><li>
Health Savings Account (HSA) with Company Contributions</li><li>
Flexible Spending Accounts (FSA) - Health Care &amp; Dependent Care</li><li>
Retirement Health Reimbursement Account</li></ul><div></div><div>
LIFE INSURANCE</div><ul><li>
Basic and Supplemental Life Insurance</li><li>
Spouse and Child Life Insurance</li></ul><div></div><div>
TIME OFF, DISABILITY AND LEAVE OF ABSENCE</div><ul><li>
Paid Vacation, Sick Days and Annual Holidays</li><li>
Paid Leave of Absences (Maternity Leave, Parental Leave, Caregiver Leave, Bereavement Time)</li><li>
Short and Long Term Disability Plans</li><li>
Paid Volunteer Time</li></ul><div></div><div>
 OTHER BENEFITS</div><ul><li>
Education Assistance Program</li><li>
Charitable Matching Gifts Program</li><li>
Commuter Reimbursement Program</li><li>
Adoption and Surrogacy Reimbursement Program</li></ul></div>

Statistician/Data Scientist - Director

Validation & Engineering Group

<div><p><b><i>Validation &amp; Engineering Group, Inc. (</i></b>V&amp;EG) is a leading services supplier who provides solutions for the Pharmaceutical, Biotechnology, Chemical, Food, and Medical Devices industries in the following areas: Laboratory, Compliance, Computer, Engineering, Project Management, Validation, and other services.</p>
<p>We are seeking a talented, dedicated individual committed to work under the highest ethics standards for the following position:</p>
<ul><li><b>Process Development Scientist</b></li>
</ul>
<p><b>Requirements</b>:</p>
<ul><li><p>Doctorate degree or Master degree and 5 years of Scientific experience OR</p>
</li><li><p>Bachelor degree and 6 years of Scientific experience</p>
</li><p></p><li><p>Life Sciences and/or Engineering (statistics, mathematics, systems engineering, industrial engineering)</p>
</li></ul><p><b>Attributes:</b></p>
<ul><li><p>Relevant work experience in data analysis or related field (eg as a statistician, data scientist, computational biologist)</p>
</li><li><p>Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.</p>
</li><li><p>Conduct end-to-end analysis that includes data gathering and requirements specifications, processing, analysis, ongoing deliverables, and presentations</p>
</li><li><p>Experience with statistical software (e.g. R, MATLAB, SAS, Jump, Minitab) and database languages (e.g. SQL)</p>
</li><li><p>Experience with statistical data analysis such as linear models, multivariate analysis, and stochastic models</p>
</li><li><p>Experience articulating business questions and using mathematical techniques to arrive at an answer using available data</p>
</li><li><p>Demonstrated skills in selecting the right statistical tools given a data analysis problem</p>
</li><p></p><li><p>Data system knowledge &ndash; OSIsoft PI / Spotfire/ OVDAS /PLM</p>
</li></ul><p><b>Skills:</b></p>
<ul><li>To conceive, design, implement and execute specific scientific experiments, which contribute to the successful completion of goals and/or projects under general guidance of supervisor.</li></ul>
<ul><li>Conceives and designs, executes or evaluates, and interprets experimental strategies.</li></ul>
<ul><li>Provides input to new processes to generate robust and reliable data.</li></ul>
<ul><li>Ensures that studies are conducted in compliance with the respective protocol and applicable guidelines and regulations.</li></ul>
<ul><li>Designs, monitors or conducts experimental strategies with general guidance from supervisor.</li></ul>
<ul><li>Provides data analysis and interpretation, and assesses impact of the data on the project.</li></ul>
<ul><li>Keeps current in field of scientific expertise and areas relevant to their function.</li></ul>
<ul><li>Monitors field of expertise, including literature and technology development, and communicates relevant observations.</li></ul>
<ul><li>May introduce advanced scientific methods.</li></ul>
<ul><li>Develops and implements new and novel protocols to address specific issues.</li></ul>
<ul><li>May represent the department on project teams under supervision of a senior scientific staff member.
</li></ul><ul><li>Fully bilingual (English/Spanish).</li></ul>
<ul><li>Available to work extended hours, possibility of weekends and holidays.</li></ul></div>

ZL02-100424 Process Development Scientist

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