Salesforce Developer

CareerCircle
Washington, DC, United States
2 days ago
Apply on www.careercircle.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
0 years minimum
Compensation
$113,000.0 - $188,000.0
Working hours
Regular working hours

Tech stack

Microsoft Access Microsoft Excel Data Analysis Confluence Big Data Configuration Management Signals Intelligence Information Systems Data as a Services Data Architecture Data Validation Data Cleansing
+27 more
Data Governance Data Integration Data Transformation Data Migration Data Profiling Data Structures Data Visualization Decision Support Systems Electronic Data Interchange (EDI) R (Programming Language) Interoperability Python (Programming Language) Key Management Meta-Data Management Metadata Standards Program Analysis Program Design Languages Power BI SQL Databases Tableau (Software) Software Technical Review Computer Network Operations Data Ingestion Snowflake Data Analytics Data Management Software Version Control

Job description

Loans Planning Coaching Research Power BI Budgeting Consulting Management Mentorship Enthusiasm Innovation Forecasting Market Size Managed Care Epidemiology Data Science Communication Data Analysis Presentations Life Sciences Biotechnology Program Design Pharmaceuticals Detail Oriented Microsoft Excel Problem Solving Data Collection Microsoft Access Analytical Skills Business Problems Advanced Analytics Product Management Business Analytics Data Visualization Information Systems Real World Evidence Business Requirements Statistical Inference Management Consulting Health Administration Commercial Management R (Programming Language) Decision Support Systems SQL (Programming Language) Python (Programming Language) Ethical Standards And Conduct Key Performance Indicators (KPIs) Master Of Business Administration (MBA), We are looking for a Managing Consultant to join our Life Sciences team, which supports pharmaceutical and biotech companies with commercial insights and strategy as well as data and business analytics. This role will be a primary member of our Life Science advisory team, and collaborate closely with our firmwide Data, Advanced Analytics, and Technology Transformation teams to shape the growth of our Life Science data services offerings. Candidates should be market-facing self-starters who take ownership of their work, are enthusiastic, and have a collaborative mindset to support our efforts to sell and provide consulting solutions. You will coordinate activities across multiple projects and provide experience-based insight across strategy, commercial analytics, and data-driven solution design. As a Life Science Managing Consultant, you will:

  • Translate client’s key business questions and structuring/executing comprehensive analytics plans to provide necessary insights (e.g., cross-sectional analyses, longitudinal studies, inferential statistics, and structured decision support).
  • Convey and summarize detailed data insights through a strategic lens that is understandable and actionable by cross-functional internal/external stakeholders.
  • Leverage various commercial and real-world evidence datasets to drive insights that address client business problems, which include but are not limited to medical and pharmacy claims (open and closed), formulary and managed care data, and EMR data.
  • Utilize datasets across multiple third-party data vendors, which include but are not limited to IQVIA, Komodo, Compile, MMIT/Norstella, Symphony Health, Truven/Merative, and Definitive Healthcare.
  • Lead internal and external discussions to understand and generate project requirements, scope, and develop client-tailored analytical solutions.
  • Shape data-driven engagements by serving as an intermediary between data scientists and clients.
  • Understand and analyze client business challenges and match them to firm and/or third-party data and analytic capabilities.
  • Work with strategy consulting teams and data science teams to design and execute data-driven projects, such as market sizing/segmentation, patient journey, provider profiling/targeting, provider affiliation mapping, epidemiology studies, managed care analytics, pull-through modeling/program design, forecasting, field force design, KPI/performance tracking, and incentive comp.
  • Help design and lead the development of new solutions/services firmwide.
  • Apply strong analytical and problem-solving skills to translate business requirements into technology solutions.
  • Provide support across multiple client engagements; develop presentations, briefings, memos, and reports. Should be able to work independently but with oversight from management.
  • Prioritize and handle multiple tasks, research, and analyze pertinent client, industry and technical matters, utilize problem-solving skills, and communicate effectively in written and verbal formats to various audiences (including multiple levels of management and external clients) in a professional business environment.
  • Experience in managing independent as well as integrated project modules including ownership of workstreams and coaching/mentoring others.
  • Present proposals and deliverables during meetings, summits, and working sessions with senior client executives.
  • Support managing contract budgets, developing and sharing best practices, and evolving Guidehouse’s data and analytics capabilities.

Requirements

  • Bachelor’s Degree; FOUR (4) years of additional professional experience in lieu of Bachelor’s
  • FOUR (4+) years of Life Sciences industry, management consulting, and/or data vendor experience is required, plus advanced degree MBA, PhD, PharmD or MD.
  • Experience in commercial management consulting functions such as portfolio and asset strategy, data/commercial analytics, launch excellence & brand planning, patient services and market access is a plus.
  • Must possess strong analytical skills (Excel, Access, etc.) and leverage analytic techniques to use data to guide client and team decision-making.
  • Must have advanced data collection, research, and information-finding experience and explore solutions that challenge critical thinking.
  • 3+ years of experience in business & data analytics.
  • Experience with sophisticated drug forecasting techniques.
  • Must be willing to travel to client sites across the US up to 20% of the time.
  • Authorized to work for any US employer without sponsorship.

What Would Be Nice To Have:

  • Advanced degree, MBA, Information Systems, Healthcare Management, Innovation and entrepreneurship, or similar quantitative discipline.
  • In-line and pipeline forecasting and NPV modeling.
  • Technical/product management and software experience.
  • Experience with common analytic toolsets such as SQL, R, Python, Snowflake.
  • Proficiency in data visualization services such as PowerBI, Tableau.
  • Ability to build client-ready forecast models/ financial models.
  • Ability to work with large data sets such as claims data.
  • Excellent attention to detail and ability to review work products of self and others and produce work products and deliverables that require minimal re-work or editing., Data Science Communication Data Analysis Lean Six Sigma Data Management Program Analysis Change Management Political Sciences Program Evaluation Process Improvement Data Transformation Process Optimization International Relations SQL (Programming Language) Verbal Communication Skills Ethical Standards And Conduct Tableau (Business Intelligence Software) +0, Purchasing Upskilling Reliability Market Data Traceability Data Quality Cryptography Data Analysis Presentations Data Modeling Data Exchange Data Ingestion Key Management Microsoft Excel Version Control Data Structures Quality Control Data Governance Data Management Data Validation Ancient History Microsoft Access Data Integration Interoperability Data Architecture Analytical Method Metadata Standards Workflow Management Metadata Management Time Off Management Security Engineering Lifecycle Management Atlassian Confluence Signals Intelligence Technical Documentation Data Quality Assessment Configuration Management Software Technical Review Engineering Documentation SQL (Programming Language) Verbal Communication Skills Computer Network Operations Python (Programming Language), Communication Data Analysis Data Modeling Child Welfare Data Profiling Data Migration Human Services Data Structures Decision Making Data Governance Data Preprocessing Data Quality Assessment SQL (Programming Language) Ethical Standards And Conduct

Benefits & conditions

The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Position may be eligible for a discretionary variable incentive bonus
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Basic Life & Supplemental Life
  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
  • Short-Term & Long-Term Disability
  • Student Loan PayDown
  • Tuition Reimbursement, Personal Development & Learning Opportunities
  • Skills Development & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careercircle.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

Videos

See all

Related articles

See all