About the role

Consultant, R&D Solutions

■ ポジション概要

Consultan, R&D Solutionsとして、顧客プロジェクトの推進およびチームのリードを担当いただきます。

顧客ニーズを理解し、ソリューション提案（Pre-Sales）から導入支援、成果報告まで一貫して関与します。

東京勤務を基本としつつ、適任者には国内リモート勤務も相談可能です。

■ 職務内容

顧客要件のヒアリングおよび課題の把握
顧客ニーズに基づいたソリューション提案・設計
プロジェクトの計画・推進および関係者の調整
プレセールスから導入後までの顧客対応
データサイエンス分野（ケミインフォマティクス／バイオインフォマティクス等）の知見を活用した支援
市場・技術トレンドおよび競合の把握
プロダクト戦略・改善へのフィードバック

■ 応募要件

理系分野（生命科学、データサイエンス等）の修士以上、または同等の知識・経験
Pythonなど、いずれかのプログラミング経験
日本語および英語：ビジネスレベル
高いコミュニケーション力・分析力・プレゼン能力
国内外出張あり（約20%）

■ 歓迎スキル

製薬・化学業界、創薬に関する知識
研究環境（アカデミア／企業）での業務経験
データ分析・データ活用に関する実務経験

■ 働き方

ワークライフバランスを重視し、柔軟な働き方を推進しています。
フレックスタイム制度や各種支援制度を通じて、長期的なキャリア形成をサポートします。

■ 会社概要

Elsevierは、情報と分析を通じて科学の発展と医療の向上に貢献するグローバル企業です。
データとテクノロジーを活用し、研究者や医療従事者の意思決定を支援しています。

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Consultant, R&D Solutions

Position Overview

As the Consultant, R&D Solutions. you will lead customer projects and deliver data-driven solutions from pre-sales through implementation.

You will work closely with customers to understand their needs, shape solutions, and guide projects through delivery. This includes presenting solutions during pre-sales, supporting execution, and demonstrating outcomes at project completion.

You will report to the Senior Director of Consulting (Amsterdam, Netherlands).

Location: Tokyo (remote within Japan negotiable for the right candidate)

Responsibilities

Engage with customers to understand requirements and translate them into actionable solutions
Lead and coordinate project delivery, including stakeholders and internal teams
Present solutions in pre-sales discussions and support customer engagements throughout execution
Stay up to date with scientific, market, and competitive developments relevant to customers
Apply expertise in data science, cheminformatics, or bioinformatics to support data-driven decision-making
Use structured project management processes and tools to drive delivery
Contribute to the development and execution of Elsevier’s product and dataset strategy

Requirements

Advanced degree in life sciences, data science, cheminformatics, or bioinformatics
Experience with at least one programming language (Python preferred)
Business-level proficiency in Japanese and English
Strong communication, presentation, and analytical skills
Willingness to travel (~20%)

Nice to Have

Knowledge of pharmaceutical or chemical industries and drug discovery
Experience working in a research environment (academic or commercial)
Experience applying data science to real-world problem solving

Work Style

We support a healthy work-life balance through:

Flexible working hours
Wellbeing initiatives
Study support and career development programs
Sabbaticals and parental leave

About Elsevier

Elsevier is a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve outcomes.

We combine high-quality data, analytics, and technology to support research, education, and healthcare worldwide.

Your work will contribute to solving global challenges and building a more sustainable future.

Join Us

Be part of a team driving innovation at the intersection of science, data, and technology

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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Aplyr's read

Elsevier is a leader in information analytics, attracting professionals dedicated to advancing science and healthcare through innovative data solutions.
Synthesized from recent postings & public sources

What's promising

•Elsevier offers opportunities to work on impactful projects in science and healthcare.
•The company invests in cutting-edge technology and data analytics.
•It provides a global platform for career growth and professional development.

What to watch

•Elsevier faces criticism over high journal subscription costs.
•The academic publishing model is under scrutiny for access limitations.
•There is pressure to adapt to open access demands.

Why Elsevier

•Elsevier's extensive portfolio includes leading scientific journals and databases.
•The company leverages advanced analytics to improve research outcomes.
•It has a strong focus on integrating AI into its products and services.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Elsevier

Elsevier

elsevier.com

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Elsevier is a global information analytics business that helps institutions and professionals progress science, advance healthcare, and improve performance through the use of data and technology.