Controller - Public Commercial Life Sciences Job at Robert Half (Boston)

Controller - Public Commercial Life Sciences

My client, a Public Commercial Life Sciences company s, is seeking a highly stra...

Location

United States , Boston

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Accounting, Finance, or related field
CPA required
10+ years of progressive accounting experience, including senior leadership responsibilities
Public company experience required
Experience supporting capital transactions
Strong knowledge of GAAP, SEC Reporting, and PCAOB audit requirements
Technical accounting expertise
Experience within a commercial product environment, including Gross-to-Net accounting
Life Sciences experience required
Experience building, mentoring, and scaling accounting teams is a plus

Job Responsibility

Serve as a key leader within the finance organization
Oversee core accounting operations, SEC reporting, technical accounting, audit coordination, and internal controls
Support the company’s continued growth and public company requirements

What we offer

Bonus
Equity
Medical
Vision
Dental
Life and disability insurance
Company 401(k) plan

Life Sciences Consultant - Oncology

We are now looking for an Oncology-specialist (ideally with breast cancer expert...

Location

United Kingdom , London

Salary:

110000.00 - 130000.00 GBP / Year

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Familiarity, and in-market experience, with the EU pharmaceutical market, through recent employment with EU-based consulting firm
Advanced degree in medicine/ life sciences from leading global faculty (Ph.D. preferred) with deep Oncology-specific expertise
3+ years of relevant professional experience in Consulting
Track record of professional success, with successive stages of advancement/ promotion
Experience successfully managing projects or streams of work within projects
Proven Leadership skills (functional, team, client, team, etc.)
Experience in pharma competitive intelligence
Strong knowledge and hands-on competitive intelligence experience in the pharmaceutical industry, including issue monitoring and coverage of industry conferences, primary C.I., CI deep dives, workshops, scenario planning, and synthesis/ insight generation
Experience working on Commercial Strategy or Market Access projects
Possesses a strong understanding of the life sciences / pharma industry, to include recent trends, developments and current challenges

Job Responsibility

Managing the delivery of client project(s), ensuring delivery of the projects are in line with client objectives and expectations as well as the project timelines
Serving as the key point of contact for the project, manages the client relationship throughout the term of the project and manages the project team
Developing key project deliverables, such as discreet pieces of (qualitative, quantitative, financial, pharmaco-economic) research, analysis and synthesis
Using a range of strategic frameworks, conceptualizes complex data into compelling, succinct and actionable insights
Creates, adheres to, manages, project plan and budget, incl. key milestones, delivery timelines, review sessions, with an eye for available capacity and for potential issues and risks
Scopes out team role(s) and successfully delivers on own such role (including for example, project manager, financial/ quant analyst, communications champion)
Manages small team in executing client project(s), addresses performance concerns effectively and early on
Ensures high quality of deliverables, e.g., through four-eye principle, check list or formal quality control process
Conducts project reviews and provides / seeks formal feedback at the close of every project (or at contract renewal for monitoring projects) to ensure key learnings from the project are captured
Interacts with defined client teams in communicating progress, questions / hypotheses / conclusions, in addressing any questions and concerns, and in flagging issues as needed

What we offer

Benefits across health, finances, fitness, travel, tech and more

Fulltime

Ai Engineering Associate Director

We are currently seeking a AI Engineering Associate Director to join our team in...

Location

United States , Plano

Salary:

151400.00 - 202500.00 USD / Year

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, information systems, engineering, data science, analytics, or a related field, or equivalent practical experience
6+ years of experience in software engineering, data engineering, AI engineering, machine learning engineering, analytics engineering, or technical consulting
Hands-on experience building AI, machine learning, generative AI, analytics, automation, or data-driven applications
Practical experience with generative AI patterns such as prompt engineering, retrieval-augmented generation, embeddings, vector databases, LLM integration, model evaluation, and API-based model orchestration
Proficiency in Python and SQL, with experience using common data, AI, and application development libraries or frameworks
Experience with at least one major cloud platform such as Azure, AWS, or Google Cloud
Experience working with APIs, databases, data pipelines, structured data, unstructured data, and enterprise integration patterns
Familiarity with software engineering practices such as Git, CI/CD, testing, code review, documentation, containerization, and deployment
Ability to build technically credible solutions while communicating clearly with both technical and non-technical audiences
Strong collaboration skills and ability to work with cross-functional teams in consulting, client delivery, product, or enterprise technology environments

Job Responsibility

Design, develop, and implement AI and generative AI solutions across primarily healthcare, life science and public sector domains
Build AI-enabled applications, services, APIs, copilots, chat interfaces, workflow automations, dashboards, and decision-support tools
Develop solutions using modern AI engineering patterns, including retrieval-augmented generation, embeddings, vector search, prompt engineering, model orchestration, agentic workflows, natural language processing, document intelligence, predictive analytics, and machine learning
Partner with solution architects, data scientists, cloud engineers, software developers, and business stakeholders to translate requirements into technical designs and working solutions
Build and maintain data pipelines, integration services, feature preparation workflows, knowledge bases, and model-ready datasets
Integrate AI models and services from major cloud providers, commercial model providers, open-source frameworks, and enterprise platforms
Create proofs of concept, prototypes, demos, and technical assets that validate feasibility, demonstrate business value, and support client conversations
Support the sales cycle by contributing to demo environments, technical walkthroughs, proposal content, estimates, and reusable solution components
Develop reusable accelerators, code libraries, templates, prompt assets, deployment patterns, and implementation playbooks
Apply responsible AI practices, including model evaluation, guardrails, privacy controls, bias testing, explainability, monitoring, auditability, and human-in-the-loop design

What we offer

medical
dental
vision insurance
flexible spending or health savings account
life and AD&D insurance
short and long term disability coverage
paid time off
employee assistance
participation in a 401k program with company match
additional voluntary or legally-required benefits

Fulltime

AI Engineering Associate Director

We are seeking an experienced AI Engineer to design, build, test, and deploy art...

Location

United States , Plano

Salary:

151400.00 - 202500.00 USD / Year

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, information systems, engineering, data science, analytics, or a related field, or equivalent practical experience
6+ years of experience in software engineering, data engineering, AI engineering, machine learning engineering, analytics engineering, or technical consulting
Hands-on experience building AI, machine learning, generative AI, analytics, automation, or data-driven applications
Practical experience with generative AI patterns such as prompt engineering, retrieval-augmented generation, embeddings, vector databases, LLM integration, model evaluation, and API-based model orchestration
Proficiency in Python and SQL, with experience using common data, AI, and application development libraries or frameworks
Experience with at least one major cloud platform such as Azure, AWS, or Google Cloud
Experience working with APIs, databases, data pipelines, structured data, unstructured data, and enterprise integration patterns
Familiarity with software engineering practices such as Git, CI/CD, testing, code review, documentation, containerization, and deployment
Ability to build technically credible solutions while communicating clearly with both technical and non-technical audiences
Strong collaboration skills and ability to work with cross-functional teams in consulting, client delivery, product, or enterprise technology environments

Job Responsibility

Design, develop, and implement AI and generative AI solutions across primarily healthcare, life science and public sector domains
Build AI-enabled applications, services, APIs, copilots, chat interfaces, workflow automations, dashboards, and decision-support tools
Develop solutions using modern AI engineering patterns, including retrieval-augmented generation, embeddings, vector search, prompt engineering, model orchestration, agentic workflows, natural language processing, document intelligence, predictive analytics, and machine learning
Partner with solution architects, data scientists, cloud engineers, software developers, and business stakeholders to translate requirements into technical designs and working solutions
Build and maintain data pipelines, integration services, feature preparation workflows, knowledge bases, and model-ready datasets
Integrate AI models and services from major cloud providers, commercial model providers, open-source frameworks, and enterprise platforms
Create proofs of concept, prototypes, demos, and technical assets that validate feasibility, demonstrate business value, and support client conversations
Support the sales cycle by contributing to demo environments, technical walkthroughs, proposal content, estimates, and reusable solution components
Develop reusable accelerators, code libraries, templates, prompt assets, deployment patterns, and implementation playbooks
Apply responsible AI practices, including model evaluation, guardrails, privacy controls, bias testing, explainability, monitoring, auditability, and human-in-the-loop design

What we offer

Medical, dental, and vision insurance
Flexible spending or health savings account
Life and AD&D insurance
Short and long term disability coverage
Paid time off
Employee assistance
Participation in a 401k program with company match
Additional voluntary or legally-required benefits

Fulltime

Ai Solution Engineer

We are seeking an experienced AI Engineer to design, build, test, and deploy art...

Location

United States , Plano

Salary:

151400.00 - 202500.00 USD / Year

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, information systems, engineering, data science, analytics, or a related field, or equivalent practical experience
6+ years of experience in software engineering, data engineering, AI engineering, machine learning engineering, analytics engineering, or technical consulting
Hands-on experience building AI, machine learning, generative AI, analytics, automation, or data-driven applications
Practical experience with generative AI patterns such as prompt engineering, retrieval-augmented generation, embeddings, vector databases, LLM integration, model evaluation, and API-based model orchestration
Proficiency in Python and SQL, with experience using common data, AI, and application development libraries or frameworks
Experience with at least one major cloud platform such as Azure, AWS, or Google Cloud
Experience working with APIs, databases, data pipelines, structured data, unstructured data, and enterprise integration patterns
Familiarity with software engineering practices such as Git, CI/CD, testing, code review, documentation, containerization, and deployment
Ability to build technically credible solutions while communicating clearly with both technical and non-technical audiences
Strong collaboration skills and ability to work with cross-functional teams in consulting, client delivery, product, or enterprise technology environments

Job Responsibility

Design, develop, and implement AI and generative AI solutions across primarily healthcare, life science and public sector domains
Build AI-enabled applications, services, APIs, copilots, chat interfaces, workflow automations, dashboards, and decision-support tools
Develop solutions using modern AI engineering patterns, including retrieval-augmented generation, embeddings, vector search, prompt engineering, model orchestration, agentic workflows, natural language processing, document intelligence, predictive analytics, and machine learning
Partner with solution architects, data scientists, cloud engineers, software developers, and business stakeholders to translate requirements into technical designs and working solutions
Build and maintain data pipelines, integration services, feature preparation workflows, knowledge bases, and model-ready datasets
Integrate AI models and services from major cloud providers, commercial model providers, open-source frameworks, and enterprise platforms
Create proofs of concept, prototypes, demos, and technical assets that validate feasibility, demonstrate business value, and support client conversations
Support the sales cycle by contributing to demo environments, technical walkthroughs, proposal content, estimates, and reusable solution components
Develop reusable accelerators, code libraries, templates, prompt assets, deployment patterns, and implementation playbooks
Apply responsible AI practices, including model evaluation, guardrails, privacy controls, bias testing, explainability, monitoring, auditability, and human-in-the-loop design

What we offer

medical, dental, and vision insurance
flexible spending or health savings account
life and AD&D insurance
short and long term disability coverage
paid time off
employee assistance
participation in a 401k program with company match
additional voluntary or legally-required benefits

Fulltime

Life Science Consultant

Deallus are a global life-sciences management consultancy specializing in life s...

Location

United States , New York City

Salary:

105000.00 - 130000.00 GBP / Year

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Experience covering breast cancer area of disease
Familiarity, and in-market experience, with the US pharmaceutical market, through recent employment with US-based consulting firm
Advanced degree in medicine/ life sciences from leading global faculty (Ph.D. preferred)
Consultant level: 3+ years of relevant professional experience
Track record of professional success, with successive stages of advancement/ promotion
Proven Leadership skills (functional, team, client, team, etc.)
Experience in pharma competitive intelligence
Strong knowledge and hands-on competitive intelligence experience in the pharmaceutical industry, including issue monitoring and coverage of industry conferences, primary C.I., CI deep dives, workshops, scenario planning, and synthesis/ insight generation
Experience working on Commercial Strategy or Market Access projects
Preferably depth in one or more of the following therapeutic areas: Oncology, Neurology, Vaccines, Immunology, Cell & Gene, Rare Disease

Job Responsibility

Develops key project deliverables, such as discreet pieces of (qualitative, quantitative, financial, pharmaco-economic) research, analysis and synthesis
Using a range of strategic frameworks, conceptualizes complex data into compelling, succinct and actionable insights
Creates, adheres to, manages, project plan and budget, incl. key milestones, delivery timelines, review sessions, with an eye for available capacity and for potential issues and risks
Scopes out team role(s) and successfully delivers on own such role (including for example, project manager, financial/ quant analyst, communications champion)
Manages small team in executing client project(s), addresses performance concerns effectively and early on
Ensures high quality of deliverables, e.g., through four-eye principle, check list or formal quality control process
Conducts project reviews and provides / seeks formal feedback at the close of every project (or at contract renewal for monitoring projects) to ensure key learnings from the project are captured
Interacts with defined client teams in communicating progress, questions / hypotheses / conclusions, in addressing any questions and concerns, and in flagging issues as needed
Ensures client satisfaction throughout the term of the project
Takes on practice leadership role, e.g., related to recruiting, knowledge management, pursuit leadership

What we offer

In addition to a rewarding career, we support our GlobalData Heathcare colleagues with a range of benefits across health, finances, fitness, travel, tech and more

Fulltime

New

Vice President

iCapital is looking to hire an investment product specialist Vice President to s...

Location

China , Hong Kong

Salary:

Not provided

iCapital Network

Expiration Date

Until further notice

Requirements

10+ years of experience working within the alternative investment industry in a client facing capacity (e.g., Investor relations at GPs or distribution specialist at placement agents, fund of funds and asset management firms with alternative investment product experience)
A self-starter who demonstrates the ability to work in a fast-paced entrepreneurial environment and follow a rigorous sales process
Strong team orientation with exceptional organizational and interpersonal skills especially in a cross-boarder and small team-working environment
Strong with Microsoft powerpoint and has excellent verbal and written communication skills
Local regulatory licensing is required
Relevant language skills is a plus

Job Responsibility

Leverage a consultative sales process to acquire new relationships, expand existing client relationships, and service assets under management
Develop high level of sales proficiency with iDirect offerings in private equity, private credit, and hedge funds and other future iDirect products and a good understanding of the asset class as well as product comparison purposes
Traveling is required to markets to meet with gatekeepers, advisors, industry bodies, end clients in support of the broader sales and educational effort
Assist in the planning and execution of roadshows and conferences
Work alongside the in region Client Solutions team personnel on client pitches, product positioning, and sales campaigns
Leverage technology input and reporting tools to support sales management activities

Fulltime

Customer Assistant II

Location

United States , Amherst

Salary:

26.06 - 29.33 USD / Hour

Massachusetts Municipal Association

Expiration Date

Until further notice

Requirements

High school degree or equivalent PLUS one to three years of experience in accounting, bookkeeping, or cash handling
OR any equivalent combination of related education and experience that demonstrates the ability to successfully perform the responsibilities of the position

Job Responsibility

Perform a full range of complex procedural accounting and clerical duties associated with computation, reconciliation and posting to accounts for town collection areas (e.g., Water and Sewer, Parking)

Fulltime

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Controller - Public Commercial Life Sciences

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