Home › Companies › Avalerehealth › Associate Director, Media Data Science

Associate Director, Media Data Science

Avalerehealth · New York, NY · Remote · Active · $120,000–$165,000 / year · Lever

Job facts

Field	Value
Company	Avalerehealth
Title	Associate Director, Media Data Science
Normalized title	-
Department / team	US Marketing / Media
Location	New York, NY, United States
Work model	Remote / Remote
Employment type	Permanent/Full Time
Salary	$120,000–$165,000 / year
Status	active
ATS provider	Lever
Posted / first seen	2026-02-26 / 2026-05-29
Changed / last seen	2026-05-29 / 2026-06-06

Related slices

Page	What it contains	Open
Company jobs	Active postings from Avalerehealth.	Open
Company breakdowns	Role, location, ATS, and work model facets for this company.	Open
ATS provider jobs	Active postings observed through Lever.	Open
Provider filtered search	The same provider as a filtered job collection.	Open
City jobs	Active postings in New York.	Open
Department jobs	Active postings in US Marketing.	Open
Work model jobs	Active Remote postings.	Open
Lifecycle events	Open, update, close, and reopen events for this posting.	Open
Original posting	Canonical source or apply URL captured from the ATS.	Open

Linked records

Company	Avalerehealth
Source	759b085f-5e93-4d59-a0c0-d9b61a3a4374
ATS provider	Lever

Description

About Avalere Health United by one profound purpose: to reach EVERY PATIENT POSSIBLE. At Avalere Health, we ensure every patient is identified, treated, supported, and cared for. Equally. Our Advisory, Medical, and Marketing teams come together – powerfully and intentionally – to forge unconventional connections, building a future where healthcare is not a barrier and no patient is left behind. Achieving our mission starts with providing enriching, purpose-driven careers for our team that empower them to make a tangible impact on patient lives. We are committed to creating a culture where our employees are empowered to bring their whole selves to work and tap into the power of diverse backgrounds and skillsets to play a part in making a difference for every patient, everywhere. Our flexible approach to working allows our global teams to decide where they want to work, whether in-office or at home based on team and client need. Major city hubs in London, Manchester, Washington, D.C., and New York, and smaller offices globally, serve as collaboration hubs allowing our teams to come together when it matters. Homeworkers are equally supported, with dedicated social opportunities and resources. Our inclusive culture is at the heart of everything we do. We proudly support our employees in bringing their whole selves to work with our six Employee Network Groups – Diverse Ability, Family, Gender, LGBTQ+, Mental Health, and Race/Ethnicity. These groups provide opportunities to promote diversity, equity, and inclusion and to connect, learn, and socialise through regular meetings and programs of activity. We are an accredited Fertility Friendly employer with our Fertility Policy, enhanced parental leave, and culture of flexibility ensuring every employee feels supported across their family planning journey and can work in a way that suits their family’s needs. We are deeply invested in supporting professional growth for our employees through day-to-day career experiences, access to thousands of on-demand training sessions, regular career conversations, and the opportunity for global, cross-capability career moves. We take pride in being part of the Disability Confident Scheme. This helps make sure you can be interviewed fairly if you have a disability, long term health condition, or are neurodiverse. If you'd like to apply and need adjustments made, you can let us know in your application. We are seeking an Associate Director of Media Data Science to lead advanced media analytics across HCP and DTC campaigns. This individual will be an innovator and cross-functional collaborator who pushes the boundaries of healthcare media measurement, connects complex datasets, and translates insights into compelling business narratives. This role sits at the intersection of data science, media strategy, and client impact — responsible for connecting omnichannel media investment to measurable outcomes and growth. What we can offer You will receive a 401K plan with an employer match contribution up to 4% (immediately vested), as well as life insurance, disability coverage, and medical, dental, and vision plans for peace of mind. Enjoy flexible working arrangements, including hybrid and remote work, along with the option to work from anywhere across the globe two weeks each year. We provide 20 vacation days plus one personal well-being day, recognise 9 public holidays, along with gifted end-of-year holidays and an early Summer Friday finish in June, July, and August. Access free counselling through our employee assistance program and personalized health support. Our enhanced maternity, paternity, family leave, and fertility policies provide support across every stage of your family-planning journey. You can also benefit from continuous opportunities to professionally develop with on-demand training, support, and global mobility opportunities across the business. We encourage all applicants to read our candidate privacy notice before applying to Avalere Health. What You'll Do Lead advanced measurement strategy across HCP and DTC campaigns, including MMM, multi-touch attribution, incrementality testing, brand affinity, and lift studies. Build, run, and refine hands-on data science models to evaluate media effectiveness, including linear regression, marketing mix models, attribution models, predictive models, and other statistical approaches. Integrate and analyze healthcare datasets including IQVIA, Crossix, PurpleLab, Experian, Medicaid, and other claims or identity-based data sources to quantify media impact. Connect exposure across linear TV, Google, SEM, display, paid social, radio, and programmatic business outcomes and promotional KPIs. Query, manipulate, and structure large datasets within Snowflake, operating within a medallion (Bronze/Silver/Gold) data architecture. Use SQL, Python, R, and/or other statistical tools to clean, transform, model, and analyze large-scale media and healthcare datasets. Apply tools such as SAS, SPSS, or similar statistical platforms to support advanced modeling, analysis, and validation where appropriate. Build structured datasets and dashboards in Tableau and Looker that support real-time insight generation and executive reporting. Translate statistical modeling outputs into clear, actionable storylines that demonstrate how campaigns drive business performance. Develop executive-ready PowerPoint presentations that bring data to life for clients and senior stakeholders. Collaborate closely with Media Strategy, Data Strategy, Engineering, and Account teams to ensure measurement frameworks, model outputs, and reporting solutions are aligned with business objectives. Mentor analysts and foster a culture of innovation, rigor, technical excellence, and cross-functional partnership within the data science function. About You 6+ years of experience in data science, advanced analytics, media measurement, or marketing analytics, preferably within healthcare, pharma, life sciences, or another highly regulated industry. Hands-on experience building, running, and interpreting statistical models, including linear regression, marketing mix modeling, multi-touch attribution, incrementality testing, lift studies, and/or predictive modeling. Strong technical capability with SQL, Snowflake, Python, and/or R, including experience cleaning, transforming, analyzing, and modeling large-scale datasets. Experience with SAS, SPSS, or similar statistical tools preferred. Experience leveraging healthcare data platforms and datasets such as IQVIA, Crossix, PurpleLab, Experian, Medicaid, claims data, identity-based data, or similar sources. Strong Tableau and/or Looker skills, with the ability to develop reporting solutions that support both detailed analysis and executive-level decision-making. Strong communication and storytelling skills, including the ability to translate complex modeling outputs into clear, actionable business narratives for clients and senior stakeholders. Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Analytics, or a related field required; Master’s degree preferred.

Full job record

Job ID	e6c69a6d23c7c2ce11e34ad137f824b8d87e727c
Org ID	01a95849-b701-4eb7-a3e7-f5f4096a977e
Source ID	759b085f-5e93-4d59-a0c0-d9b61a3a4374
Board ID	759b085f-5e93-4d59-a0c0-d9b61a3a4374
Provider	lever
Provider Job Key	1d1f3668-f195-4074-902a-7623cbf81ea3
Title	Associate Director, Media Data Science
Normalized Title	—
Status	active
Active	yes
Location Text	New York, NY
Department	US Marketing
Team	Media
Employment Type	Permanent/full-time
Workplace Type	remote
Remote Policy	remote
Country	United States
Region	NY
City	New York
Salary Raw	USD 120000-165000 per-year-salary
Salary Min	120,000
Salary Max	165,000
Salary Currency	USD
Salary Period	year
Source URL	https://jobs.lever.co/avalerehealth/1d1f3668-f195-4074-902a-7623cbf81ea3
Apply URL	https://jobs.lever.co/avalerehealth/1d1f3668-f195-4074-902a-7623cbf81ea3/apply
First Seen At	2026-05-29 06:59:56Z
Last Seen At	2026-06-06 07:56:04Z
Last Checked At	2026-06-06 07:56:04Z
Last Changed At	2026-05-29 06:59:56Z
Inactive At	—
Source Posted At	2026-02-26 21:29:23Z
Source Updated At	—
Raw Payload Uri	s3://job-postings-prod-raw-590183727216/raw/provider=lever/board=avalerehealth/date=2026-06-06/2026-06-06T07-56-03-828Z-c9d253a73f92be585587c8ac6b92e7c2b69e3c292ef942e5add1e986d10c85dc.json

Event Fields

{
  "content_hash": "73615d4d7fc14783a3823551ec52c7eff9b6d39ad5ef6fc994852db74722392b",
  "source_hash": "a4d447890361a352cb232cc925575e22714e94664ef8f3b059bffb5f0e97c3a5",
  "last_changed_at": "2026-05-29T06:59:56.440Z",
  "active_status": "active"
}

Parsed Structured

{
  "language": "en",
  "location": {
    "raw": "New York, NY",
    "city": "New York",
    "region": "NY",
    "country": "United States",
    "is_remote": true,
    "confidence": 0.9
  },
  "salary_max": 165000,
  "salary_min": 120000,
  "inferred_at": "2026-06-06T07:56:04.674Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "New York, NY",
      "city": "New York",
      "region": "NY",
      "country": "United States",
      "is_remote": true,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "remote",
  "salary_period": "year",
  "workplace_type": "remote",
  "salary_currency": "USD"
}

Extensions

{}

Native Structured

{
  "lists": [
    {
      "text": "What You'll Do",
      "content": "<div>\n<ul type=\"disc\" style=\"margin-top: 0in; margin-bottom: 0in;\">\n<li style=\"text-align: justify; line-height: 115%; margin-top: 0in; margin-right: 0in; margin-bottom: 0in; font-size: 10pt; font-family: 'Times New Roman', serif;\"><span style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Inter 18pt 18pt';\">Lead advanced measurement strategy across HCP and DTC campaigns, including MMM, multi-touch attribution, incrementality testing, brand affinity, and lift studies.</span></li>\n<li style=\"text-align: justify; line-height: 115%; margin-top: 0in; margin-right: 0in; margin-bottom: 0in; font-size: 10pt; font-family: 'Times New Roman', serif;\"><span style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Inter 18pt 18pt';\">Build, run, and refine hands-on data science models to evaluate media effectiveness, including linear regression, marketing mix models, attribution models, predictive models, and other statistical approaches.</span></li>\n<li style=\"text-align: justify; line-height: 115%; margin-top: 0in; margin-right: 0in; margin-bottom: 0in; font-size: 10pt; font-family: 'Times New Roman', serif;\"><span style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Inter 18pt 18pt';\">Integrate and analyze healthcare datasets including IQVIA, Crossix, PurpleLab, Experian, Medicaid, and other claims or identity-based data sources to quantify media impact.</span></li>\n<li style=\"text-align: justify; line-height: 115%; margin-top: 0in; margin-right: 0in; margin-bottom: 0in; font-size: 10pt; font-family: 'Times New Roman', serif;\"><span style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Inter 18pt 18pt';\">Connect exposure across linear TV, Google, SEM, display, paid social, radio, and programmatic business outcomes and promotional KPIs.</span></li>\n<li style=\"text-align: justify; line-height: 115%; margin-top: 0in; margin-right: 0in; margin-bottom: 0in; font-size: 10pt; font-family: 'Times New Roman', serif;\"><span style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Inter 18pt 18pt';\">Query, manipulate, and structure large datasets within Snowflake, operating within a medallion (Bronze/Silver/Gold) data architecture.</span></li>\n<li style=\"text-align: justify; line-height: 115%; margin-top: 0in; margin-right: 0in; margin-bottom: 0in; font-size: 10pt; font-family: 'Times New Roman', serif;\"><span style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Inter 18pt 18pt';\">Use SQL, Python, R, and/or other statistical tools to clean, transform, model, and analyze large-scale media and healthcare datasets.</span></li>\n<li style=\"text-align: justify; line-height: 115%; margin-top: 0in; margin-right: 0in; margin-bottom: 0in; font-size: 10pt; font-family: 'Times New Roman', serif;\"><span style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Inter 18pt 18pt';\">Apply tools such as SAS, SPSS, or similar statistical platforms to support advanced modeling, analysis, and validation where appropriate.</span></li>\n<li style=\"text-align: justify; line-height: 115%; margin-top: 0in; margin-right: 0in; margin-bottom: 0in; font-size: 10pt; font-family: 'Times New Roman', serif;\"><span style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Inter 18pt 18pt';\">Build structured datasets and dashboards in Tableau and Looker that support real-time insight generation and executive reporting.</span></li>\n<li style=\"text-align: justify; line-height: 115%; margin-top: 0in; margin-right: 0in; margin-bottom: 0in; font-size: 10pt; font-family: 'Times New Roman', serif;\"><span style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Inter 18pt 18pt';\">Translate statistical modeling outputs into clear, actionable storylines that demonstrate how campaigns drive business performance.</span></li>\n<li style=\"text-align: justify; line-height: 115%; margin-top: 0in; margin-right: 0in; margin-bottom: 0in; font-size: 10pt; font-family: 'Times New Roman', serif;\"><span style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Inter 18pt 18pt';\">Develop executive-ready PowerPoint presentations that bring data to life for clients and senior stakeholders.</span></li>\n<li style=\"text-align: justify; line-height: 115%; margin-top: 0in; margin-right: 0in; margin-bottom: 0in; font-size: 10pt; font-family: 'Times New Roman', serif;\"><span style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Inter 18pt 18pt';\">Collaborate closely with Media Strategy, Data Strategy, Engineering, and Account teams to ensure measurement frameworks, model outputs, and reporting solutions are aligned with business objectives.</span></li>\n<li style=\"text-align: justify; line-height: 115%; margin-top: 0in; margin-right: 0in; margin-bottom: 0in; font-size: 10pt; font-family: 'Times New Roman', serif;\"><span style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Inter 18pt 18pt';\">Mentor analysts and foster a culture of innovation, rigor, technical excellence, and cross-functional partnership within the data science function.</span></li>\n\n<p style=\"margin: 0in; font-size: 10pt; font-family: 'Times New Roman', serif;\">&nbsp;</p>\n<strong><span style=\"font-size: 12.0pt; font-family: 'Inter 18pt 18pt';\"><br><br></span></strong></ul></div>"
    },
    {
      "text": "About You",
      "content": "<div>\n<ul type=\"disc\" style=\"margin-top: 0in; margin-bottom: 0in;\">\n<li style=\"text-align: justify; line-height: 115%; margin-top: 0in; margin-right: 0in; margin-bottom: 0in; font-size: 10pt; font-family: 'Times New Roman', serif;\"><span style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Inter 18pt 18pt';\">6+ years of experience in data science, advanced analytics, media measurement, or marketing analytics, preferably within healthcare, pharma, life sciences, or another highly regulated industry.</span></li>\n<li style=\"text-align: justify; line-height: 115%; margin-top: 0in; margin-right: 0in; margin-bottom: 0in; font-size: 10pt; font-family: 'Times New Roman', serif;\"><span style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Inter 18pt 18pt';\">Hands-on experience building, running, and interpreting statistical models, including linear regression, marketing mix modeling, multi-touch attribution, incrementality testing, lift studies, and/or predictive modeling.</span></li>\n<li style=\"text-align: justify; line-height: 115%; margin-top: 0in; margin-right: 0in; margin-bottom: 0in; font-size: 10pt; font-family: 'Times New Roman', serif;\"><span style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Inter 18pt 18pt';\">Strong technical capability with SQL, Snowflake, Python, and/or R, including experience cleaning, transforming, analyzing, and modeling large-scale datasets.</span></li>\n<li style=\"text-align: justify; line-height: 115%; margin-top: 0in; margin-right: 0in; margin-bottom: 0in; font-size: 10pt; font-family: 'Times New Roman', serif;\"><span style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Inter 18pt 18pt';\">Experience with SAS, SPSS, or similar statistical tools preferred.</span></li>\n<li style=\"text-align: justify; line-height: 115%; margin-top: 0in; margin-right: 0in; margin-bottom: 0in; font-size: 10pt; font-family: 'Times New Roman', serif;\"><span style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Inter 18pt 18pt';\">Experience leveraging healthcare data platforms and datasets such as IQVIA, Crossix, PurpleLab, Experian, Medicaid, claims data, identity-based data, or similar sources.</span></li>\n<li style=\"text-align: justify; line-height: 115%; margin-top: 0in; margin-right: 0in; margin-bottom: 0in; font-size: 10pt; font-family: 'Times New Roman', serif;\"><span style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Inter 18pt 18pt';\">Strong Tableau and/or Looker skills, with the ability to develop reporting solutions that support both detailed analysis and executive-level decision-making.</span></li>\n<li style=\"text-align: justify; line-height: 115%; margin-top: 0in; margin-right: 0in; margin-bottom: 0in; font-size: 10pt; font-family: 'Times New Roman', serif;\"><span style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Inter 18pt 18pt';\">Strong communication and storytelling skills, including the ability to translate complex modeling outputs into clear, actionable business narratives for clients and senior stakeholders.</span></li>\n<li style=\"text-align: justify; line-height: 115%; margin-top: 0in; margin-right: 0in; margin-bottom: 0in; font-size: 10pt; font-family: 'Times New Roman', serif;\"><span style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Inter 18pt 18pt';\">Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Analytics, or a related field required; Master’s degree preferred.</span></li>\n\n</ul></div>"
    }
  ],
  "country": "US",
  "createdAt": 1772141363527,
  "updatedAt": null,
  "categories": {
    "team": "Media",
    "location": "New York, NY",
    "commitment": "Permanent/full-time",
    "department": "US Marketing",
    "allLocations": [
      "New York, NY",
      "Philadelphia, PA",
      "Washington DC",
      "Chicago, IL"
    ]
  },
  "salaryRange": {
    "max": 165000,
    "min": 120000,
    "currency": "USD",
    "interval": "per-year-salary"
  },
  "workplaceType": "remote"
}

Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/e6c69a6d23c7c2ce11e34ad137f824b8d87e727c?include=descriptionJSON

GET https://api.bluedoor.sh/job-postings/v1/orgs/01a95849-b701-4eb7-a3e7-f5f4096a977eJSON

GET https://api.bluedoor.sh/job-postings/v1/sources/759b085f-5e93-4d59-a0c0-d9b61a3a4374JSON

GET https://api.bluedoor.sh/job-postings/v1/jobs/e6c69a6d23c7c2ce11e34ad137f824b8d87e727c/eventsJSON

Docs · Get an API key