Archive for Job Listings

Director Statistical Informatics

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Position Overview
The Director Statistical Informatics will provide leadership and expertise in health services research with proficiency in applied statistics, epidemiological methods, sampling methods, and healthcare provider performance. Strong statistical skills are required. The successful candidate will be responsible for the production, quality, deployment, and documentation of methodologies and content for Truven Health Analytics clients. This person will be capable of operating as an independent statistical consultant, advising colleagues and clients on the planning and execution of statistical analyses using appropriate methods, as well as on the interpretation and presentation of results. The candidate will also participate in writing new business proposals. Strong skills are expected in statistical programming.

Note: There are multiple locations where this person can work, and remote is also a possibility.

Essential Responsibilities
• Collaborate with researchers to achieve study objectives, deliver results on time, and ensure the quality of deliverables.
• Interact with knowledge experts to specify statistical models.
• Analyze retrospective health research data and interpret results.
• Serve as consultant regarding content and methods to both internal and external users.
• Communicate effectively with both internal and external clients, explain methods, interpret results, and create effective tabular and graphical displays.
• Create specifications for building analytic data files.
• Ensure data and reporting meet high standards.
• Innovate statistical methods or adapt standard statistical methods, as needed.
• Give talks on statistical methods for both internal and external audiences.
REQUIRED Skills and Experience
• A minimum of 10 years experience conducting statistical analyses on health care data
• Ability to solve problems using analytical skills and choose appropriate statistical methods to meet study objectives.
• Excellent communication skills: able to discuss technical issues with technical and non-technical audiences and work in a multi-disciplinary environment.
• Self-motivated, detail-oriented and a team player. Requires experience in carrying out innovative methods and functioning as a statistical lead within a project team.
• Experience in the documentation of analytical concepts, in report-writing, and in writing papers for submission to journals. Requires publications in journals or the submission of statistical reports to clients.
• Experience in designing analyses for a non-technical client.
Education / Certifications
Ph.D in Statistics required

Must be a US Citizen or Green Card holder

Sr. Risk Consultant II – SAS

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You will be responsible for helping some of the world’s largest organizations in the area of risk management to successfully implement or leverage risk technology platforms. You skills will aid in the implementation and development of risk products while developing and enhancing relationships with our valued clients.

In this role you will:
Assist in leading an implementation team
Assist in starting up an implementation project
Teach subordinates about risk implementation
Writing complex and original software code
Creating data integration flows and leveraging the data integration technology
Build risk solutions for clients
Build automated reports in a variety of different formats
Write and maintain system design documents
Develop prototypes and demonstration systems
Research risk topics
Performing other tasks as assigned

Technology Experience:
SAS DI Studio (data)
SAS BI/OLAP (reporting)
SQL
SAS Macros
Advanced SAS skills
Advanced experience with RDBMS (Oracle, DB2, data)
Intermediate software application skills
Advanced understanding of a software development life cycle

Essential:
MS degree in the areas of Computer Science, Economics, Mathematics, Engineering, Physics or Finance or a BS degree plus minimum of 9 years of relevant experience
At least 5-8 years in a position with data management responsibilities, or risk analysis, or reporting, or a combination of the above mentioned areas
Advanced understanding of risk management concepts
Strong written and oral communication skills
Excellent problem solving, decision making, and organizational skills
Ability to travel up to 50% of the time as the business needs dictate
Ability to work alone and as part of a team

Certifications and Knowledge Areas:
SAS Platform Certifications (data)
SAS BI Content Developer (reporting)
SAS Grid Certifications (data)
SAS Enterprise Business Analytics (data)
GARP FRM (analytics)
GARP Risk Banking (data & report)

*Must be a US Citizen or Green Card Holder.* East Coast candidates preferred.

Director of Analytics – Irvine

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Primary Responsibilities
• Build analytical forecasting models and evaluate results
• Write reports, create presentations, tables and graphs for analytical projects
• Interfacing with both clients and internal team members in a professional, effective way
• Act as a resource for statistical issues such as sampling and data analysis
• Manage the exploration, development and implementation of new methods
• Find solutions that create repeatable value and revenue stream
• Maintain up to date understanding of industry trends and technical developments that affect target markets
• Communicate statistical ideas and interpret statistical results to non-statisticians effectively
• Create technology solutions related materials in for the form of PowerPoint slides, Visio diagrams, or other appropriate formats
• Assist in the maintenance, monitoring, and enhancement of current statistical modeling functions and software, including re-estimation of model coefficients, scoring of file data, and sample size calculation
Requirements
• Undergraduate in United States
• Preferred degree in either: Applied Statistics, Mathematics, Economics
• Masters Degree
• 10 – 15 years experience building models
• Proficient in SAS
• Experience with fuzzy logic, neural nets, logistical regression
• Pragmatic thinker who excels in fast paced environment
• Excellent client facing communication skills
Preferences
• Analytical skills to evaluate, understand, and interpret data from client’s perspective
• Well versed in areas of hypothesis testing, response surface methodology, mixed model analysis, multivariate analysis (cluster and factor analysis), sampling/stratification
• Ability to apply knowledge across multiple industries including, but not limited to, marketing, finance, insurance, risk.
Additional Information
• To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.

Sr. SAS Programmer/ Clinical – San Diego, CA

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Position Summary:
Works closely with other programmers, biostatisticians, and clinical data managers with a leading role in the collection, analysis, and reporting of clinical data for phase I-IV clinical development programs.
Primary Responsibilities:
• Following the Study Data Tabulation Model (SDTM) Implementation Guide, writes specifications for SDTM datasets.
• Following statistical analysis plans and the Analysis Data Model (ADaM) Implementation Guide, writes specifications for analysis datasets.
• Following specifications, develops algorithms and writes programs to create datasets.
• Produces data listings, summary tables and graphs using SAS software.
• Independently checks data listings, summary tables and graphs.
• Imports and exports SAS data.
• Assists data management group in performing data edit checks.
• Understands and conducts work consistent with GCP, ICH, 21 CFR part 11, internal SOPs and training, and international regulatory requirements.
• Plays an active role in taking project solutions and generalizing them for the Biostatistics group.
• Interacts with the project statistician and guides other programmers participating on a project team.
Education/Experience/Skills:
Bachelor’s degree in a statistics, computer science, or a similar quantitative field; an equivalent combination of relevant education and applicable job experience may be considered. Experience in programming with the Statistical Analysis System (SAS) beyond classroom work is required.
Minimum of 5 years’ experience in clinical statistical programming within pharmaceutical or related industry (biotechnology, medical device, Clinical Research Organization (CRO)). SAS Certified Base and/or Advance Programmer experience is preferred.
Must possess:
• Proven experience in SAS programming including base SAS, SAS/Stat, SAS/Graph, macros, ODS.
• Experience with SDTM and ADaM industry data standards.
• Exposure to statistical graphics software.
• Good communication skills and attention to detail are crucial.
• Proven ability to handle multiple tasks.
• Able to assert own ideas and persuade others through effectively consolidating, evaluating, and presenting relevant information.
• Skilled at promoting team cooperation and a commitment to team success.
• Adept at seeing change as an opportunity to improve business performance and campaigning for it when necessary.

*Must be a US Citizen or Green Card holder

Biostatistician – SF Bay Area

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• Prepares biostatistics input to research and regulated product proposals.
• Design and analysis of analytical and clinical trials. Provides high-level strategic guidance to the product team in the areas of study design and biostatistics.
• Design, analyze and present study level data, including device trials. Perform interim and final analysis for FDA review.
• Ensure accuracy and completeness of analyses conducted for assigned projects.
• Prepare statistical summary reports. Write the statistical methods sections of integrated study reports.
• Assist in FDA submissions to address trial design and analysis related questions.

• MS or PhD in statistics, computer science, mathematics or physics
• 4+ years of experience in genomics or IVD or companion diagnostics
• Demonstrate a strong background in statistics and/or probability theory via professional experience, coursework and/or publications
• Deep understanding of genomics data and its analysis
• Understanding of EU, FDA and other countries regulatory guidelines to make sure all information necessary for analysis are collected accurately and efficiently
• Experience with data analysis software e.g. Matlab or R or SAS.
• Self-motivated and ability to originate new ideas

SKILLS AND CERTIFICATIONS
• 4+ years of experience in genomics or IVD or companion diagnostics
• Deep understanding of genomics data and its analysis
• Understanding of EU, FDA and other countries regulatory guidelines

*Must be a US citizen or Green Card holder

Data Scientist – San Francisco Bay Area

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Looking for Data Scientist to conduct cutting-edge research and development of the audience targeting and campaign delivery optimization of next generation mobile advertising delivery software platform. The successful candidate will join a vibrant team to develop new Machine Learning and Data Mining technologies for effective mobile advertising and its analytics.

This position reports into Chief Scientist.

Job Qualifications
o Strong analytical and programming skills
o Deep understanding of probability theory and statistical methods
o Strong background in mathematical optimization and machine learning theory
o Proven technical skills in data mining and Big Data technologies
o Ability to write quality code to prototype and implement research algorithms
o Experience with mobile advertising, online advertising or social media is a plus

Job Requirements
o MS/PhD in computer science, a quantitative engineering discipline, statistics, or applied mathematics is preferred.
o BS degree with equivalent experience and exceptional analytical skills will be considered.

Technical Language Requirements
o Script languages such as python, perl and shell script
o Statistical programming languages, R or equivalent
o MapReduce; Hadoop or equivalent
o AWS experience is definitely a plus

Sr. Data Analyst

Summary

The Senior Data Analyst, Bank Operations will provide analytical support and reporting to the Accounting and Bank Operations Department as well as other departments including Business Stacks. This position will work closely with Accounting, Bank Operations, and Business Intelligence Management in providing them with pertinent and actionable information from both financial and operational perspectives.

Responsibilities

Perform transaction-level fee analysis using complex SQL queries, business processes monitoring, compliance reporting, and using Microsoft Office tools.
Manage reports necessary for accounting operations and financial reporting.
Perform ad-hoc analysis to provide actionable insights as it relates to customer and financial impact as well as risk exposure and recommending process improvement.
Learn overall bank and company operations to properly analyze processes.
Participate in projects and provide subject matter expertise in group settings.
Interact at all levels of the company, including but not limited to executive, senior, and department management as well as with external clients and vendors.
Consistently deliver projects of high quality with excellent attention to detail within tight deadlines.
Collaborate with the Data Warehouse team as a subject matter expert and help write business requirements for best practices reporting and analytics.
Communication: Superior verbal and written presentation skills are required. Actively listen to others to understand their perspective. Ability to present with confidence complex topics and analysis in easy to comprehend manner. Ability to summarize data into useful information using visual and graphical approaches.
Implementation/Execution: Combine consultative skills with analytical knowledge to critically evaluate objectives and customer requirements. Ability to translate these objectives into meaningful and actionable presentations and reports. Demonstrate skill in data analysis techniques by resolving missing/incomplete information, inconsistencies/anomalies within complex data environment.
Database Skills/Technology: Must have broad comprehension of how data is organized in various database formats and ability to efficiently extract data for analytical use. Advanced skills in SQL querying along with knowledge of BI tools. Forensic data experience and time-series data analysis is preferred.
Work Ethics: Must be able to simultaneously handle multiple projects and meet deadlines with proven ability to succeed in a high activity/pace environment with managing associated stress. Outstanding ability to work independently, within a team, and across various departments.
Problem Solving: Problem solver with the ability to encourage others in collaborative manner and ability to influence with deep subject matter expertise.

Requirements:

Bachelor’s degree in business, economics, or statistics; CIS a plus. Master’s degree preferred.
Minimum of five (5) years of experience in analytics area, preferably in banking or other financial experience.
Outstanding analytical abilities with a steep learning curve.
Must have advanced SQL querying skills to pull data from data warehouses and operational databases.
Experience using major BI software packages (e.g. Micro-Strategy, Tableau).
Microsoft Office products expertise with advanced proficiency in Excel (pivot tables, complex formulas, VLOOKUPs, statistical functions, presentation styles, etc.).

*Must be a US Citizen or Green Card holder*

Senior Statistician (Vice President or Senior Director)

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Must be a US Citizen or Green Card holder

Location is open. Ph.D in Statistics is required.

Position Description – Senior Statistician (Vice President or Senior Director)

This individual will provide leadership and expertise in health services research with proficiency in applied statistics, epidemiological methods, healthcare fraud, and healthcare provider performance. Strong statistical skills are required. The successful candidate will be responsible for the production, quality, deployment, and documentation of methodologies and content for Truven Health Analytics clients. This person will be capable of operating as an independent statistical consultant, advising colleagues and clients on the planning and execution of statistical analyses using appropriate methods, as well as on the interpretation and presentation of results. The candidate will also participate in writing new business proposals. Strong skills are expected in statistical programming.
Job Responsibilities and Qualifications (Requirements)

Essential Duties/Responsibilities
• Collaborate with Project Managers to achieve study objectives, deliver results on time, and ensure the quality of deliverables.
• Interact with knowledge experts to specify statistical models.
• Create specifications for building analytic data files.
• Analyze health research data and interpret results.
• Ensure data and reporting meet high standards.
• Strictly follow data security protocols.
• Serve as consultant regarding content and methods to both internal and external (client) users.
• Innovate statistical methods or adapt standard statistical methods, as needed.
• Communicate effectively with both internal and external clients, explain methods, interpret results, and create effective tabular and graphical displays.
• Give talks on statistical methods for both internal and external audiences.
Qualifications
• Ability to multi-task without sacrificing quality or deadlines on individual projects. Requires experience working on multiple projects simultaneously.
• Excellent communication skills: able to discuss technical issues with technical and non-technical audiences and work in a multi-disciplinary environment.
• Proven ability to estimate and meet realistic timelines.
• Ability to solve problems using analytical skills and choose appropriate statistical methods to meet study objectives.
• Experience in designing analyses for a non-technical client.
• Self-motivated, detail-oriented and a team player. Requires experience in carrying out innovative methods and functioning as a statistical lead within a project team.
• Experience in the documentation of analytical concepts, in report-writing, and in writing papers for submission to journals. Requires publications in journals or the submission of statistical reports to clients.
• Self directed and motivated: requires minimal management assistance to accomplish day to day activities. Requires significant experience in statistical consulting.
• Experience in a broad array of statistical methods used in health services research. Requires experience with basic and advanced statistical methods, including hypothesis testing, confidence intervals, sample size determination, Bayesian statistics, analysis of variance and regression modeling, including generalized linear models, logistic regression, Poisson regression, hierarchical regression, and data mining.
• Ability to program in SAS.
• Familiarity with the Microsoft Suite (e.g., Excel and Word).
• PhD in statistics and 5+ years of health services research experience.

Biostatistician – Maryland

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Do you possess a PhD with 8 years of experience, or MS and 10 years of experience in Biostatistics? Do you have experience in providing scientific and technical evaluations of assay performance?

Description of ideal candidate:

  • Industry experience in support of a chemical medicines compendia or product development and quality environment is desirable. Experience with reference materials development is a plus.
  • Experience with pharmaceutical and biotechnology product development.
  • Experience in development and evaluation of analytical methods for the characterization of biopharmaceutical products, specifically the statistical analysis aspects.
  • Experience with the development and analysis of study protocols for reference materials
  • Statistical design and analysis of bioassay studies
  • Experience with the statistical aspects of validation
  • Understanding of pharmaceutical quality systems and associated regulatory framework is essential (ICH guidelines and FDA’s IND, NDA, BLA)
  • Ability to write technical reports pertaining to the evaluation of materials testing and methods development.
  • Able to establish and nurture relationships with individuals of varying backgrounds and learning styles. Able to operate independently where appropriate, yet understands when to escalate issues and how to establish effective working relationships.
  • Excellent writing, interpersonal and communication skills (written and oral).
  • Well-developed organizational, interpersonal communications, negotiation, writing, and strong listening skills.
  • Knowledge of internet, electronic database searches, and statistical software industry.
  • Project Management skills. Must have ability to prioritize and manage multiple, concurrent projects with often long life cycles.
  • Must be able to share technical information with non-technical or non-scientific staff, and to communicate effectively with representatives from pharmaceutical companies, government, and academic institutions. Ability to persuade corporations to collaborate with organization on various projects.
  • Experience with, and knowledge of the USP-NF is preferred.

Job Description:

Oversees and facilitates all aspects of the development of General Chapters to the USP-NF, from development of the initial proposal to the publication of the documentary standard. Evaluates and analyzes supporting data, and translates into editorial style and format

.•              Acts as an internal expert in statistical analyses and work closely with scientists and expert committees, and provides day to day support for study design, sampling strategies and data analysis to facilitate the development of candidate’s reference materials into  Reference Standards.

•              Manages the activities of  Statistics Expert Committee, including work plan development and management, interface with the Chair and coordinating point for all of the EC’s scientific activities.•              Supports the design and execution of collaborative testing, once a candidate material has been sourced. Prepares statistical analysis summary to accompany the reference standard candidate evaluation packages.

•              Evaluates on a regular basis the need to develop new guidance on data analysis, and monitors the interdependencies between monographs and chapters and helps create consistency in statistical approaches.

•              Provides scientifically and technically sound evaluation of assay performance; helps with assay troubleshooting, as well as the review and approval of data generated by laboratory scientists.•              Writes general and specific subject correspondence pertaining to monographs, general chapters, reference materials, and various policy issues. Plans and oversees necessary laboratory work for method development and verification as needed

.•              Communicates and maintains working relationships with other departments regarding projects related to validation studies, methods development, reference standards, and other cross-cutting activities. •              Keeps abreast of current trends and developments in related scientific fields, particularly in the area of statistical analysis for assays included in USP monographs and chapters.  •              Responds to stakeholder inquiries pertaining to USP-NF monographs, reference standards and General Chapters (as assigned).

•              Serves as representative of organization at professional meetings (scientific meetings organized by USP and other organizations, meetings at other pharmacopeias or regulatory agencies etc.).  Minimum Requirements:Ph.D. degree in Statistics or Biostatistics with eight (8) years of relevant experience or M.S. and ten (10) years.

Must be a US citizen or Green Card Holder. e-mail resume to molly@synchrony-solutions.com

Data Scientist – Los Angeles

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This position creates statistical and predictive models and scorecards for Revenue, Risk, Marketing, Customer Care, and other areas. The position will use various statistical techniques including clustering, advanced regression, data mining, and multivariate modeling for model creating and provide actionable insights, create segments and segment profiles. Additionally, this position will be primarily responsible for implementation of the models and scorecards. Other responsibilities include preparing reports and dashboards using trends, vintage, cohort, and comparative analysis. The person in this job will be constantly looking to improve and optimize existing models.

We are looking for a self-starter with a strong sense of ownership. The incumbent will work independently with all levels of the company, including executive, senior, and department management and with external vendors and clients. The ideal candidate will have the ability to consistently deliver projects of high quality with excellent attention to detail within tight deadlines. The successful person in this role will collaborate with the Data Warehouse team as a subject matter expert and help write business requirements for creating optimal data models for use in his/her job.

Responsibilities

Communication: Superior verbal and written presentation skills are required. Actively listen to others to understand their perspective and ensure continuous understanding regardless of communication channel or audience. Ability to present complex topics and analysis in easy to comprehend manner. Ability to summarize data into useful information using visual and other graphical approaches for leadership audiences.

Implementation/Execution: Combine consultative skills with analytical knowledge to critically evaluate objectives and present solutions. You are a problem solver with the ability to encourage others in collaborative manner and ability to influence with deep subject matter expertise.

Statistical Skills: You are savvy and extremely comfortable with statistical software and using related techniques, including data preparation and analysis. Demonstrate skill in data analysis techniques by resolving missing/ incomplete information, inconsistencies/anomalies within complex data environment.

Work Ethics: Must be able to simultaneously handle multiple projects and meet deadlines with proven ability to succeed in a high activity/pace environment with managing associated stress. Outstanding ability to work independently, within a team, and across various departments.

Requirements
Master’s degree in economics, statistics, or mathematics
Minimum 3 years of experience in a similar area
Outstanding analytical abilities with a steep learning curve
Leadership qualities in the analytical area with ability to lead critical “thought process” discussions
Must have advanced knowledge of SAS, R, and or other statistical tools
Experience in SQL, Python, and other languages

e-mail resume to molly@synchrony-solutions.com