working conditions. Regularly lift/move up to 25 pounds; frequently lift/move up to 50 pounds. Qualifications Minimum of an associate's degree in Electronic/Electrical Technology OR 4+ years' work related experience. Travel is required, must be able to obtain passport Must have experience with high voltage electrical Mechanical experience required PERKS: Employee Assistance Program Medical Benefits Dental Benefits Vacation Time/Personal Time Voluntary Life Insurance Long Term Disability (LTD) 401K Life Insurance Gym membership Tuition Reimbursement 401(k) 401(k) matching Flexible spending account Parental leave Referral program Retirement plan
teams, data scientists, engineers and operational support to understand the business requirements that drive Omnichannel, Sales operations and Marketing solutions They will be involved in the machine learning model development, full feature engineering roll out and support with responsibilities for designing, configuring, implementing, and supporting leading-edge data pipelines that support key decisions and drive organizational action for our Omnichannel brands.
This will include interpreting our business use cases and mapping them to creating new algorithms and enhancing our existing models working with our advance analytics teams (business translators), data engineers, data stewards,
sales optimization and marketing teams. The role will also include close partnership with our external ML Operations and Dev Operations partner, including management and monitoring their effective delivery of JET-related work.
As the primary lead for a designated therapeutic area (e. g. Oncology), they will drive the forward-looking vision for Janssen's data sciences and engineering strategy, leading the deployment and support of Janssen's leading-edge models and pipelines to advance Commercial Strategy and Optimization data sciences and enabling the data engineering capabilities. This role will act as the primary contact for the Data Sciences & Engineering Omnichannel workstream across
the specified therapeutic area for CS&O, internal IT, and services/software partners, providing regular communications supporting Omnichannel vision, strategy, and operations.
This role will include supervisory and individual contribution components (i. e. a player-coach). Leadership acumen as well as senior-level technology capabilities are required. It is important that this person has strong technical and business capability in equal measure, including senior-level written and verbal communication skills across both audiences. Role & Responsibilities: Scale up, Enhance and Support the Omnichannel machine learning & data engineering track for the Commercial Strategy and Operations group.
Assist senior leadership team in evolving and executing the data sciences & engineering strategy. Understand Janssen commercial business unit's Omnichannel data and functional requirements to scale up and support feature engineering for our therapeutic areas. Act as a subject matter expert in data sciences & engineering frameworks and bring best in class, innovative ideas to develop, test, and measure performance and impact of initiatives Work in collaboration with business translators (advanced analytics), other data scientists and engineers to present the findings of the machine model runs and data insights to our key stakeholders (brands and leadership) Understand existing data science models and engineering pipelines related to Johnson and Johnson Innovative Medicine's omnichannel brands, provide inputs and suggestions to optimize the architecture, provide recommendations on performance improvement Collaborate with omnichannel operations support lead & partners to leverage Dev Ops capabilities to operationalize models & data engineering Pipelines.
Make recommendations on value and efficiency of new capabilities and technologies in order to advance adoption of data sciences and engineering capabilities across innovative medicine.
Act as a change agent for making machine learning and advance analytics capabilities more pervasive across the organization by creating proof of concepts & demo capabilities working with internal teams and external partners Drive the design and build of new data pipelines & feature engineering layer Apply explainable artificial intelligence (XAI), data engineering and feature engineering principles to support data science requirements and supply raw, curated, and processed data for machine learning engineers and data scientists Work in cross-functional agile teams to continuously experiment, iterate, and deliver business goals and objectives Collaborate with other data engineers, machine learning staff, and stakeholders from multiple therapeutic areas to take learnings and synergies as they arise Lead the development and implementation of data quality framework for feature engineering working with upstream data systems Proactively identify new data sources that will enhance decision making & increase model accuracy Innovation and Early Talent Development Work on rapid prototyping applying innovative data sciences and engineering capabilities to address sales & marketing business use cases Provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders Lead our early talent development program working with internal team members and university across US region to attract and hire talent in for the Janssen Commercial Unit Education Minimum of a Bachelor degree with 7 years of experience required in Computer Science, Mathematics, Statistics or Computational Science.
MS and 5 years of experience or Ph D and 2 years of work experience preferred.
1 Year of experience managing a team. Strong working knowledge of machine learning algorithms, including one or more machine learning techniques such as regression, decision trees, probability networks, association rules, clustering, neural networks, and/or Bayesian models. Strong working knowledge of machine learning platforms/environments (python, supervised and unsupervised machine learning, AWS). Experience delivering on data science projects using predictive technologies, data mining, and/or text mining, natural language processing (NLP). Experience with SQL and/or No SQL.
Experience with exploratory data analysis, data transformation, feature creation & engineering. Strong business and data analysis skills with experience in life sciences, health care or medical commercial operations, or equivalent. Experience with building and supporting container-based pipelines using cloud technologies such as AWS, Google, or Azure. Strong understanding of data lifecycle, data quality, metadata and data management. Ability to work in an agile manner, learn and apply new technologies, and be a key contributor as well as manage projects independently.
Strong verbal and written communication skills and a proven ability earn business stakeholder trust. Proven analytical and problem-solving abilities. Familiarity with Machine Learning Operations (ML Ops) and Data Science Development Operations (Dev Ops for Data Science). Strong knowledge of one or more of R/Python/SPARK/EMR/Glue/Red Shift. Knowledge of data querying/data analysis BI tools (Tableau, Power BI, SQL workbench). Knowledge of data management related standard operating procedures. Knowledge of data governance best practices. Preferred Skills: Demonstrated skills in team and culture building, focused on retaining and mentoring emerging talent.
Presentation skills in front of small/medium audiences. Knowledge of commercial life sciences data sets (NPP, DDD, Xponent, Plantrak, SPP). Knowledge of commercial and channel life sciences data sets (LAAD, Speaker Program, Channel - Email, Non-Promotional Personal, CRM, Social Media, Doximity). Experience with natural language processing (NLP). Knowledge of large language models (e. g. BARD, Open AI). Experience with scientific visualization techniques (RShiny, Tableau, Observable, Power BI, d3. js). Other Details: This position requires up to 10% domestic travel The anticipated base pay range for this position is: $113K to $170K USD Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, interaction, interactionual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
A hybrid work schedule is available depending upon level of experience and time within the position. Job Responsibilities: Research, architect, implement and monitor security solutions including networks, servers, endpoints and storage across a wide variety of systems and data types Daily operations to ensure endpoint security solutions are deployed appropriately and configured as desired.
Interfacing with third party managed services team to triage events and take action upon endpoint security alerts. Identify, define and document security controls. Transform information security recommendations into actionable IT security programs and solutions Prepare, document and maintain operating
procedures, incident response procedures, security standards and troubleshooting guides. Create detailed documentation of existing security solutions Perform self backssments of existing security systems to identify vulnerabilities, design weaknesses and recommend technologies and/or solutions to address the gaps Determine and implement industry and security best practices by performing independent research and attending training when required.
Develop and maintain infrastructure security roadmap Triage and troubleshoot security related events to determine appropriate incident response and/or root cause Work with audit department to provide requested information and evidence. Understand,
address and close findings in a complete and timely fashion. Act as the subject matter expert for multiple security product suites including firewalls, proxy servers, endpoint protection, IPS, email security, log management, content filtering, etc.
Design and implement various encryption technologies including SSL/TLS, S/MIME, IPsec, Site to Site VPNs and data at rest encryption. Architect, implement and support internal and external PKI environments. Determine appropriate security controls for various cloud computing environments, with the ability to implement and operationalize them. Required Qualifications & Experience: Excellent verbal, written and technical skills.
Able to take highly technical information and present it to varied audiences in a manner easily understood. Hands on experience designing, implementing, operating and troubleshooting complex IT security solutions in a dynamic work environment. Able to work independently, as well as with a team, and is able to transform high level requirements into well thought out, well documented, secure solutions. 8-10 years of progressive work experience as an IT/cyber systems/security engineer. Experience with managing a team of direct reports is desired. Experience managing enterprise endpoint protection technologies such as Symantec, Mc Afee and/or Crowdstrike.
Experience designing, implementing, and supporting security gateway solutions including Firewalls, IDS/IPS and VPNs from Checkpoint, Cisco and/or Palo Alto. Experience architecting, implementing and supporting Internet proxy server and web filtering solutions such as Zscaler, Forcepoint and Mc Afee. Experience with email hygiene and anti-spam solutions including Mimecast, Proofpoint and Symantec Mail Security. Experience creating and maintaining site to site and client VPN solutions utilizing Checkpoint, AWS and Cisco technologies.
Experience with data encryption technologies and digital certificate management. Experience with back-office products such as Windows, Linux, DHCP, DNS, Active Directory, RADIUS, IIS, Exchange, SQL Server, VMware ESX and Windows networking. Experience with load balancing technologies such as F5, Netscaler and AWS ELB. Experience with Web Application Firewalls (WAF) such as F5, Silverline, Imperva and AWS WAF. Experience with provisioning and managing networking and security controls within public cloud providers such as AWS or Azure. Experience partnering with third-party Managed Security Service Providers and Information Security providers.
Legal Disclaimer: NJM is proud to be an equal opportunity employer. We are committed to attracting, retaining and promoting a diverse and inclusive workforce that is fully representative of the diversity that exists in the communities in which we do business. PDN-9ac9881b-0d6f-459f-b627-9cc7aa7f5811
